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All Algorithms implemented in Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Robust Speech Recognition via Large-Scale Weak Supervision
Models and examples built with TensorFlow
为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
A curated list of awesome Machine Learning frameworks, libraries and software.
The world's simplest facial recognition api for Python and the command line
openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 300+ supported cars.
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and…
A collection of design patterns/idioms in Python
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
Finetune Llama 3.3, DeepSeek-R1, Gemma 3 & Reasoning LLMs 2x faster with 70% less memory! 🦥
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
PyTorch Tutorial for Deep Learning Researchers
OpenMMLab Detection Toolbox and Benchmark
Code and documentation to train Stanford's Alpaca models, and generate the data.
⚡ A Fast, Extensible Progress Bar for Python and CLI
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…
Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚