lzw27 Goto Github PK

barlowtwins

PyTorch implementation of Barlow Twins.

beta-vae

Pytorch implementation of β-VAE

ccvae

The official codebase for Capturing label characteristics in VAEs

deepinfomaxpytorch

Learning deep representations by mutual information estimation and maximization

demo

dgi

Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

dim

Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"

disentanglement_lib

disentanglement_lib is an open-source library for research on learning disentangled representations.

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

factorvae

Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)

infodiffusion

InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models

infograph

Official code for ICLR spotlight paper "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization"

lzw27.github.io

mlpcw1

nfd

Official codebase for the paper "3D Neural Field Generation using Triplane Diffusion"

pytorch-template

A simple template for Pytorch projects.

pytorch-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.

self_supervised_learning_multiview

trustworthyai

trustworthy AI related projects

visionmamba

Implementation of Vision Mamba from the paper: "Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model" It's 2.8x faster than DeiT and saves 86.8% GPU memory when performing batch inference to extract features on high-res images