🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with LlamaIndex, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23

Turn expensive prompts into cheap fine-tuned models

🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.

LLM fine-tuning and eval

A single API for product integrations

Open source fraud and abuse prevention tools

⏩ Continue is the leading open-source AI code assistant. You can connect any models and any context to build custom autocomplete and chat experiences inside VS Code and JetBrains

Self-hardening firewall for large language models

Building a modern alternative to Salesforce, powered by the community.

😎 Awesome lists about all kinds of interesting topics

Automatically create Faiss knn indices with the most optimal similarity search parameters.

A library to instantiate any Python object from configuration files.

🔮 A refreshing functional take on deep learning, compatible with your favorite libraries

The deepr module provide abstractions (layers, readers, prepro, metrics, config) to help build tensorflow models on top of tf estimators

Curated list of Python resources for data science.

A mutable, self-balancing interval tree. Queries may be by point, by range overlap, or by range containment.

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

Implementation of triplet loss in TensorFlow

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

Code examples in pyTorch and Tensorflow for CS230

Queue system (jobs) on the deep cluster

Summaries and notes on Deep Learning research papers