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awesome-readme

A guide to writing an Awesome README. Read the full article in Towards Data Science.

big_vision

Official codebase used to develop Vision Transformer, MLP-Mixer, LiT and more.

c2d

PyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"

deit_repo

Official DeiT repository

depth-anything

[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

easylm

Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

lorax

LoRA for arbitrary JAX models and functions

mlc

Meta Label Correction for Noisy Label Learning

open_flamingo

An open-source framework for training large multimodal models.

pgdf

pixart-alpha

PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

smallbignet

SmallBigNet: Integrating Core and Contextual Views for Video Classification (CVPR2020)

unicon-noisy-label

Official Implementation of the CVPR 2022 paper "UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning"

vision_transformer

vit-vqgan

JAX implementation ViT-VQGAN

xianhangli

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes