Code for "Structured Sparsity Inducing Adaptive Optimizers for Deep Learning" in PyTorch
MIT License
RepVGG: Making VGG-style ConvNets Great Again
Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in ...
Optimization with orthogonal constraints and on general manifolds
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relat...
PyTorch re-implementation of [Structured Inference Networks for Nonlinear State Space Models, AAA...
Implementation of Graph Transformer in Pytorch, for potential use in replicating Alphafold2
Code to accompany the paper "AMP-Inspired Deep Networks for Sparse Linear Inverse Problems"
Implementation of recent Deep Learning papers
🦁 Lion, new optimizer discovered by Google Brain using genetic algorithms that is purportedly bet...
Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems...
Awesome-pytorch-list 翻译工作进行中......
Google Colaboratory Notebooks and Repositories (by @firmai)
Sparsity-aware deep learning inference runtime for CPUs
Continual Hyperparameter Selection Framework. Compares 11 state-of-the-art Lifelong Learning meth...
Implementation of the Equiformer, SE3/E3 equivariant attention network that reaches new SOTA, and...