Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)
APACHE-2.0 License
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Implementation of recent Deep Learning papers
[ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space...
PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Repres...
[GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregress...
Adversarially Learned Inference in Pytorch
Continual Hyperparameter Selection Framework. Compares 11 state-of-the-art Lifelong Learning meth...
A flexible package for multimodal-deep-learning to combine tabular data with text and images usin...
Code to accompany the paper "AMP-Inspired Deep Networks for Sparse Linear Inverse Problems"
Deep Learning Architecture Genealogy Project
RepVGG: Making VGG-style ConvNets Great Again
Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relat...
#ICML2022 Experimental codes of "On the Surrogate Gap between Contrastive and Supervised Losses"
Code for the paper "Taxonomy Completion via Triplet Matching Network" AAAI 2021
Implementation of GigaGAN, new SOTA GAN out of Adobe. Culmination of nearly a decade of research ...