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🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Fully open reproduction of DeepSeek-R1
verl: Volcano Engine Reinforcement Learning for LLMs
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Script for downloading Coursera.org videos and naming them.
A PyTorch implementation of EfficientNet
LMDeploy is a toolkit for compressing, deploying, and serving LLMs.
A natural language modeling framework based on PyTorch
Efficient Triton Kernels for LLM Training
📚A curated list of Awesome LLM/VLM Inference Papers with Codes: Flash-Attention, Paged-Attention, WINT8/4, Parallelism, etc.🎉
Video+code lecture on building nanoGPT from scratch
g1: Using Llama-3.1 70b on Groq to create o1-like reasoning chains
My learning notes/codes for ML SYS.
An implementation of a deep learning recommendation model (DLRM)
Intel® Nervana™ reference deep learning framework committed to best performance on all hardware
A high performance and generic framework for distributed DNN training
A course of learning LLM inference serving on Apple Silicon for systems engineers: build a tiny vLLM + Qwen.
Easy benchmarking of all publicly accessible implementations of convnets
Effective Python: Third Edition — Source Code and Errata for the Book