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Code and documentation to train Stanford's Alpaca models, and generate the data.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
A high-performance, zero-overhead, extensible Python compiler using LLVM
Hydra is a framework for elegantly configuring complex applications
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
Pretty-print tabular data in Python, a library and a command-line utility. Repository migrated from bitbucket.org/astanin/python-tabulate.
Pure Python implementation of a subset of the features of jq for YAML documents
A Python-level JIT compiler designed to make unmodified PyTorch programs faster.
Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)
Production infrastructure for machine learning at scale
A very simple framework for state-of-the-art Natural Language Processing (NLP)
High performance model preprocessing library on PyTorch
An end-to-end PyTorch framework for image and video classification
Reference implementations of MLPerf™ inference benchmarks
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.
Efficient, check-pointed data loading for deep learning with massive data sets.
Avalanche: an End-to-End Library for Continual Learning based on PyTorch.
Python reference implementation of The Update Framework (TUF)
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.