An essential implementation of BYOL in PyTorch + PyTorch Lightning
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Code snippets created for the PyTorch discussion board
A Swift Wrapper for PyTorch and Torchvision.
A training/validation loop and utils for PyTorch
PyTorch implementation of BYOL: a fantastically simple method for self-supervised image represent...
Make PyTorch models up to 40% faster! Thunder is a source to source compiler for PyTorch. It enab...
I decide to sync up this repo and self-critical.pytorch. (The old master is in old master branch ...
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
Implementation of Open-Set Likelihood Maximization for Few-Shot Learning
Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in ...
Repository for DNN training, theory to practice, part of the Large Scale Machine Learning class a...
Time series forecasting with PyTorch
Lightning implementation of Meta Pseudo Label
The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detec...
Pytorch Lightning code guideline for conferences
Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)