Repository profile
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
Repository updates
Get generated NVIDIA/apex development summaries by email, or follow the weekly and monthly RSS feeds.
Sign in to subscribe by email. RSS feeds are public.
Sign in to subscribeTracked growth, recent movement, and commit velocity from stored repository snapshots.
Latest capture 2026-07-15 03:16
5 captures since 2026-05-25
Stars from baseline +10
All tracked data
Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.
Scanned 2026-07-15 03:16
Searchable topics, generated tags, and stack labels that explain where this repository fits.
Agent instructions and tool configuration paths found in the repository tree.
Nearest indexed repositories by embedding similarity.
🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools
🏗️ Fine-tune, build, and deploy open-source LLMs easily!
An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries
🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
ncnn is a high-performance neural network inference framework optimized for the mobile platform
Efficient Triton Kernels for LLM Training
403 Forbidden | https://api.github.com/repos/NVIDIA/apex/readme | message=API rate limit exceeded for user ID 260990068. If you reach out to GitHub Support for help, please include the request ID BE64:28314F:D54F891:CA16B96:6A56FB81 and timestamp 2026-07-15 03:16:17 UTC. For more on scraping GitHub and how it may affect your rights, please review our Terms of Service (htt | rate_limit_remaining=0 | rate_limit_reset=1784088007
