redwangwangwang

TaskMatrix

pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

Open-Sora

Open-Sora: Democratizing Efficient Video Production for All

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

optimate

A collection of libraries to optimise AI model performances

DiT

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

cs230-code-examples

Code examples in pyTorch and Tensorflow for CS230

mmselfsup

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

lightly

A python library for self-supervised learning on images.

LVM

pytorch_forward_forward

Implementation of Hinton's forward-forward (FF) algorithm - an alternative to back-propagation

Awesome-Diffusion-Models-in-Medical-Imaging

Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)

LOMO

LOMO: LOw-Memory Optimization

OpenLRM

An open-source impl. of Large Reconstruction Models

objaverse-xl

🪐 Objaverse-XL is a Universe of 10M+ 3D Objects. Contains API Scripts for Downloading and Processing!

Awesome-Sketch-Based-Applications

:books: A collection of sketch based application papers.

mage

A PyTorch implementation of MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis

Diffusion-Models-in-Vision-A-Survey

This repository categorizes the papers about diffusion models applied in computer vision according to their target task. The classifcation is based on our survey: https://arxiv.org/abs/2209.04747v1

Diffusion-Models-pytorch

Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)

multigraph_transformer

IEEE TNNLS 2021, transformer, multi-graph transformer, graph, graph classification, sketch recognition, sketch classification, free-hand sketch, official code of the paper "Multi-Graph Transformer for Free-Hand Sketch Recognition"

online-label-smoothing-pt

Implementation of Online Label Smoothing in PyTorch

MSDS

The official GitHub page of the MSDS dataset.

SemanticSegmentationInArtPaintings

sketch-primitives

ECCV 2022: Abstracting Sketches through Simple Primitives

sketchanet-quickdraw

Implements Sketch-a-Net in PyTorch and trains it with QuickDraw raster images

LiteLoaderQQNT-Plugin-Plugin-Store

LiteLoader插件|插件商店

imagevision

MetaFinger

Capture-More-Structured-Context-by-Transformer-for-Sketch-Recognition