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University of Texas at Austin
- https://jyhong.gitlab.io
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An Open Source Machine Learning Framework for Everyone
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
Port of OpenAI's Whisper model in C/C++
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
超轻量级中文ocr,支持竖排文字识别, 支持ncnn、mnn、tnn推理 ( dbnet(1.8M) + crnn(2.5M) + anglenet(378KB)) 总模型仅4.7M
Turi Create simplifies the development of custom machine learning models.
Fit interpretable models. Explain blackbox machine learning.
This repository contains the solutions and explanations to the algorithm problems on LeetCode. Only medium or above are included. All are written in C++/Python and implemented by myself. The proble…
A C++ standalone library for machine learning
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
An open-source implementation of the AlphaGoZero algorithm
A flexible, high-performance 3D simulator for Embodied AI research.
Parallel t-SNE implementation with Python and Torch wrappers.
LLMs as Copilots for Theorem Proving in Lean
a lightweight header-only C++17 library of numerical optimization methods for (un-)constrained nonlinear functions
Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms