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‎_toc.yml

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- file: ml-challenges
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- caption: FOSS ML Software
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chapters:
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- file: generatedfiles/overview
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sections:
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- file: generatedfiles/mlresearchframeworks
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- file: generatedfiles/aiagentframeworks
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- file: generatedfiles/mlsecurityscanner
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- file: generatedfiles/llmui
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- file: generatedfiles/nlp
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- file: generatedfiles/mltools
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- file: generatedfiles/mlframeworks
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- file: generatedfiles/llms
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- file: catalogue
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- file: mlframeworks
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# - file: mlframeworks -> Not needed anymore -new way for SBB overviews - and up-to-date
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- file: mlhosting

‎generatedfiles/acme.md

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% This file is GENERATED. Check the tools on https://nocomplexity.com/ or my github.com/nocomplexity to use it too! Its FOSS.
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# Acme
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## Description
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Acme is a library of reinforcement learning (RL) building blocks that strives to expose simple, efficient, and readable agents. These agents first and foremost serve both as reference implementations as well as providing strong baselines for algorithm performance.
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Home page for this solution: https://github.com/google-deepmind/acme
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## Overview
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| Key | Value |
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| --- | --- |
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| Name | acme |
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| Description | A library of reinforcement learning components and agents |
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| License | Apache License 2.0 |
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| Programming Language | Python |
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| Created | 2020-05-01 |
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| Last update | 2025-02-17 |
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| Github Stars | 3585 |
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| Project Home Page | |
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| Code Repository | https://github.com/google-deepmind/acme |
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| OpenSSF Scorecard | [Report](https://securityscorecards.dev/viewer/?uri=github.com/google-deepmind/acme) |
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Note:
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- Created date is date that repro is created on Github.com.
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- Last update is only the last date I run an automatic check.
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- Do not attach a wrong value to github stars. Its a vanity metric! Stars count are misleading and
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don't indicate if the SBB is high-quality or very popular.
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% This file is GENERATED. Check the tools on https://nocomplexity.com/ or my github.com/nocomplexity to use it too! Its FOSS.
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‎generatedfiles/aiagentframeworks.md

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% This file is GENERATED. Check the tools on https://nocomplexity.com/ or my github.com/nocomplexity to use it too! Its FOSS.
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# AI Agent Frameworks solutions
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::::{grid} 3
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:class-container: text-center
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:gutter: 3
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:::{grid-item-card}
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:link: gptme
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:link-type: doc
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{octicon}`telescope;1em;caption-text` **gptme**
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^^^
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Use and reuse gptme solutions
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[More »](gptme)
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:::
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:::{grid-item-card}
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:link: openhands
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:link-type: doc
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{octicon}`light-bulb;1em;caption-text` **OpenHands**
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^^^
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Use and reuse OpenHands solutions
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[More »](openhands)
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:::
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::::
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% This file is GENERATED. Check the tools on https://nocomplexity.com/ or my github.com/nocomplexity to use it too! Its FOSS.
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‎generatedfiles/apachesinga.md

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% This file is GENERATED. Check the tools on https://nocomplexity.com/ or my github.com/nocomplexity to use it too! Its FOSS.
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# Apache SINGA
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## Description
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Apache SINGA is an Apache Top Level Project, focusing on distributed training of deep learning and machine learning models
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Home page for this solution: https://singa.apache.org/
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## Overview
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| Key | Value |
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| --- | --- |
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| Name | singa |
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| Description | a distributed deep learning platform |
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| License | Apache License 2.0 |
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| Programming Language | C++ |
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| Created | 2015-04-02 |
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| Last update | 2025-02-17 |
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| Github Stars | 3370 |
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| Project Home Page | |
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| Code Repository | https://github.com/apache/singa |
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| OpenSSF Scorecard | [Report](https://securityscorecards.dev/viewer/?uri=github.com/apache/singa) |
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Note:
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- Created date is date that repro is created on Github.com.
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- Last update is only the last date I run an automatic check.
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- Do not attach a wrong value to github stars. Its a vanity metric! Stars count are misleading and
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don't indicate if the SBB is high-quality or very popular.
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% This file is GENERATED. Check the tools on https://nocomplexity.com/ or my github.com/nocomplexity to use it too! Its FOSS.
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‎generatedfiles/autogluon.md

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% This file is GENERATED. Check the tools on https://nocomplexity.com/ or my github.com/nocomplexity to use it too! Its FOSS.
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# AutoGluon
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## Description
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AutoGluon, developed by AWS AI, automates machine learning tasks enabling you to easily achieve strong predictive performance in your applications. With just a few lines of code, you can train and deploy high-accuracy machine learning and deep learning models on image, text, time series, and tabular data.
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Home page for this solution: https://auto.gluon.ai/
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## Overview
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| Key | Value |
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| --- | --- |
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| Name | autogluon |
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| Description | Fast and Accurate ML in 3 Lines of Code |
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| License | Apache License 2.0 |
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| Programming Language | Python |
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| Created | 2019-07-29 |
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| Last update | 2025-02-18 |
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| Github Stars | 8402 |
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| Project Home Page | https://auto.gluon.ai/ |
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| Code Repository | https://github.com/autogluon/autogluon |
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| OpenSSF Scorecard | [Report](https://securityscorecards.dev/viewer/?uri=github.com/autogluon/autogluon) |
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Note:
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- Created date is date that repro is created on Github.com.
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- Last update is only the last date I run an automatic check.
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- Do not attach a wrong value to github stars. Its a vanity metric! Stars count are misleading and
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don't indicate if the SBB is high-quality or very popular.
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% This file is GENERATED. Check the tools on https://nocomplexity.com/ or my github.com/nocomplexity to use it too! Its FOSS.
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‎generatedfiles/deeplearning4j.md

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% This file is GENERATED. Check the tools on https://nocomplexity.com/ or my github.com/nocomplexity to use it too! Its FOSS.
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# Deeplearning4J
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## Description
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Suite of tools for deploying and training deep learning models using the JVM.
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Home page for this solution: https://github.com/deeplearning4j
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## Overview
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| Key | Value |
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| --- | --- |
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| Name | deeplearning4j |
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| Description | Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn... |
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| License | Apache License 2.0 |
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| Programming Language | Java |
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| Created | 2013-11-27 |
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| Last update | 2025-02-18 |
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| Github Stars | 13789 |
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| Project Home Page | http://deeplearning4j.konduit.ai |
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| Code Repository | https://github.com/deeplearning4j/deeplearning4j |
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| OpenSSF Scorecard | [Report](https://securityscorecards.dev/viewer/?uri=github.com/deeplearning4j/deeplearning4j) |
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Note:
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- Created date is date that repro is created on Github.com.
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- Last update is only the last date I run an automatic check.
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- Do not attach a wrong value to github stars. Its a vanity metric! Stars count are misleading and
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don't indicate if the SBB is high-quality or very popular.
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% This file is GENERATED. Check the tools on https://nocomplexity.com/ or my github.com/nocomplexity to use it too! Its FOSS.
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‎generatedfiles/detectron2.md

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% This file is GENERATED. Check the tools on https://nocomplexity.com/ or my github.com/nocomplexity to use it too! Its FOSS.
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# Detectron2
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## Description
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Detectron2 is a platform for object detection, segmentation and other visual recognition tasks. For ML Research.
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Home page for this solution: https://detectron2.readthedocs.io/en/latest/
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## Overview
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| Key | Value |
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| --- | --- |
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| Name | detectron2 |
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| Description | Detectron2 is a platform for object detection, segmentation and other visual recognition tasks. |
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| License | Apache License 2.0 |
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| Programming Language | Python |
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| Created | 2019-09-05 |
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| Last update | 2025-02-18 |
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| Github Stars | 31241 |
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| Project Home Page | https://detectron2.readthedocs.io/en/latest/ |
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| Code Repository | https://github.com/facebookresearch/detectron2 |
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| OpenSSF Scorecard | [Report](https://securityscorecards.dev/viewer/?uri=github.com/facebookresearch/detectron2) |
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Note:
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- Created date is date that repro is created on Github.com.
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- Last update is only the last date I run an automatic check.
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- Do not attach a wrong value to github stars. Its a vanity metric! Stars count are misleading and
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don't indicate if the SBB is high-quality or very popular.
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% This file is GENERATED. Check the tools on https://nocomplexity.com/ or my github.com/nocomplexity to use it too! Its FOSS.
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‎generatedfiles/dopamine.md

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% This file is GENERATED. Check the tools on https://nocomplexity.com/ or my github.com/nocomplexity to use it too! Its FOSS.
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# Dopamine
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## Description
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Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
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Home page for this solution: https://github.com/google/dopamine
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## Overview
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| Key | Value |
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| --- | --- |
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| Name | dopamine |
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| Description | Dopamine is a research framework for fast prototyping of reinforcement learning algorithms. |
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| License | Apache License 2.0 |
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| Programming Language | Jupyter Notebook |
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| Created | 2018-07-26 |
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| Last update | 2025-02-17 |
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| Github Stars | 10644 |
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| Project Home Page | https://github.com/google/dopamine |
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| Code Repository | https://github.com/google/dopamine |
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| OpenSSF Scorecard | [Report](https://securityscorecards.dev/viewer/?uri=github.com/google/dopamine) |
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Note:
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- Created date is date that repro is created on Github.com.
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- Last update is only the last date I run an automatic check.
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- Do not attach a wrong value to github stars. Its a vanity metric! Stars count are misleading and
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don't indicate if the SBB is high-quality or very popular.
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% This file is GENERATED. Check the tools on https://nocomplexity.com/ or my github.com/nocomplexity to use it too! Its FOSS.
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‎generatedfiles/dspy.md

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% This file is GENERATED. Check the tools on https://nocomplexity.com/ or my github.com/nocomplexity to use it too! Its FOSS.
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# DSPy
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## Description
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DSPy is the framework for programming—rather than prompting—language models. It allows you to iterate fast on building modular AI systems and offers algorithms for optimizing their prompts and weights, whether you're building simple classifiers, sophisticated RAG pipelines, or Agent loops.
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Home page for this solution: https://dspy.ai/
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## Overview
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| Key | Value |
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| --- | --- |
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| Name | dspy |
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| Description | DSPy: The framework for programming—not prompting—language models |
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| License | MIT License |
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| Programming Language | Python |
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| Created | 2023-01-09 |
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| Last update | 2025-02-18 |
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| Github Stars | 21911 |
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| Project Home Page | https://dspy.ai |
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| Code Repository | https://github.com/stanfordnlp/dspy |
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| OpenSSF Scorecard | [Report](https://securityscorecards.dev/viewer/?uri=github.com/stanfordnlp/dspy) |
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Note:
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- Created date is date that repro is created on Github.com.
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- Last update is only the last date I run an automatic check.
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- Do not attach a wrong value to github stars. Its a vanity metric! Stars count are misleading and
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don't indicate if the SBB is high-quality or very popular.
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% This file is GENERATED. Check the tools on https://nocomplexity.com/ or my github.com/nocomplexity to use it too! Its FOSS.
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‎generatedfiles/fastai.md

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% This file is GENERATED. Check the tools on https://nocomplexity.com/ or my github.com/nocomplexity to use it too! Its FOSS.
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# fastai
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## Description
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fastai is a deep learning library which provides practitioners with high-level components that can quickly and easily provide state-of-the-art results in standard deep learning domains, and provides researchers with low-level components that can be mixed and matched to build new approaches.
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Home page for this solution: https://docs.fast.ai/
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## Overview
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| Key | Value |
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| --- | --- |
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| Name | fastai |
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| Description | The fastai deep learning library |
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| License | Apache License 2.0 |
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| Programming Language | Jupyter Notebook |
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| Created | 2017-09-09 |
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| Last update | 2025-02-18 |
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| Github Stars | 26640 |
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| Project Home Page | http://docs.fast.ai |
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| Code Repository | https://github.com/fastai/fastai |
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| OpenSSF Scorecard | [Report](https://securityscorecards.dev/viewer/?uri=github.com/fastai/fastai) |
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Note:
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- Created date is date that repro is created on Github.com.
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- Last update is only the last date I run an automatic check.
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- Do not attach a wrong value to github stars. Its a vanity metric! Stars count are misleading and
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don't indicate if the SBB is high-quality or very popular.
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% This file is GENERATED. Check the tools on https://nocomplexity.com/ or my github.com/nocomplexity to use it too! Its FOSS.
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‎generatedfiles/featuretools.md

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% This file is GENERATED. Check the tools on https://nocomplexity.com/ or my github.com/nocomplexity to use it too! Its FOSS.
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# featuretools
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## Description
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Featuretools is a python library for automated feature engineering.
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Home page for this solution: https://featuretools.alteryx.com/en/stable/
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## Overview
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| Key | Value |
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| --- | --- |
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| Name | featuretools |
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| Description | An open source python library for automated feature engineering |
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| License | BSD 3-Clause "New" or "Revised" License |
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| Programming Language | Python |
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| Created | 2017-09-08 |
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| Last update | 2025-02-18 |
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| Github Stars | 7366 |
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| Project Home Page | https://www.featuretools.com |
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| Code Repository | https://github.com/alteryx/featuretools |
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| OpenSSF Scorecard | [Report](https://securityscorecards.dev/viewer/?uri=github.com/alteryx/featuretools) |
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Note:
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- Created date is date that repro is created on Github.com.
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- Last update is only the last date I run an automatic check.
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- Do not attach a wrong value to github stars. Its a vanity metric! Stars count are misleading and
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don't indicate if the SBB is high-quality or very popular.
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% This file is GENERATED. Check the tools on https://nocomplexity.com/ or my github.com/nocomplexity to use it too! Its FOSS.
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