torch-uncertainty/torch-uncertainty

High-quality implementations of standard and SOTA methods on a variety of tasks.

A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. 🏆26 knowledge distillation methods presented at TPAMI, CVPR, ICLR, ECCV, NeurIPS, ICCV, AAAI, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.

Collection of common code that's shared among different research projects in FAIR computer vision team.

Deep universal probabilistic programming with Python and PyTorch

The fastai deep learning library

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

Karras et al. (2022) diffusion models for PyTorch

A CV toolkit for my papers.