TheSouthFrog

TheSouthFrog's Stars

• facebookresearch/mae

  PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

  Language:Python7.5k571931.2k

• DefTruth/lite.ai.toolkit

  🛠 A lite C++ toolkit of 100+ Awesome AI models, support ORT, MNN, NCNN, TNN and TensorRT. 🎉🎉

  Language:C++3.7k67269705

• apple/ml-ane-transformers

  Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE)

  Language:Python2.6k48086

• xianfei/SysMocap

  A real-time motion capture system for 3D virtual character animating.

  Language:JavaScript2.6k3758419

• OFA-Sys/OFA

  Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework

  Language:Python2.4k21364249

• n2cholas/awesome-jax

  JAX - A curated list of resources https://github.com/google/jax

  1.6k518134

• MCG-NJU/VideoMAE

  [NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

  Language:Python1.4k16125137

• czczup/ViT-Adapter

  [ICLR 2023 Spotlight] Vision Transformer Adapter for Dense Predictions

  Language:Python1.3k18187141

• autonomousvision/stylegan-xl

  [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets

  Language:Python97237107114

• kakaobrain/rq-vae-transformer

  The official implementation of Autoregressive Image Generation using Residual Quantization (CVPR '22)

  Language:Jupyter Notebook813162390

• yandex-research/ddpm-segmentation

  Label-Efficient Semantic Segmentation with Diffusion Models (ICLR'2022)

  Language:Python67573460

• lucidrains/rotary-embedding-torch

  Implementation of Rotary Embeddings, from the Roformer paper, in Pytorch

  Language:Python602113147

• omriav/blended-latent-diffusion

  Official implementation for "Blended Latent Diffusion" [SIGGRAPH 2023]

  Language:Jupyter Notebook582471636

• Alpha-VL/ConvMAE

  ConvMAE: Masked Convolution Meets Masked Autoencoders

  Language:Python489113642

• google-research/maskgit

  Official Jax Implementation of MaskGIT

  Language:Jupyter Notebook464171250

• microsoft/esvit

  EsViT: Efficient self-supervised Vision Transformers

  Language:Python409122745

• FacePerceiver/FaRL

  FaRL for Facial Representation Learning [Official, CVPR 2022]

  Language:Python39082522

• omerbt/Splice

  Official Pytorch Implementation for "Splicing ViT Features for Semantic Appearance Transfer" presenting "Splice" (CVPR 2022 Oral)

  Language:Jupyter Notebook376101532

• jiawei-ren/BalancedMSE

  [CVPR 2022 Oral] Balanced MSE for Imbalanced Visual Regression https://arxiv.org/abs/2203.16427

  Language:Python37272334

• dvlab-research/FocalsConv

  Focal Sparse Convolutional Networks for 3D Object Detection (CVPR 2022, Oral)

  Language:Python37133635

• ShoufaChen/AdaptFormer

  [NeurIPS 2022] Implementation of "AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition"

  Language:Python33383520

• sayakpaul/probing-vits

  Probing the representations of Vision Transformers.

  Language:Jupyter Notebook31710720

• Rayhane-mamah/Efficient-VDVAE

  Official Pytorch and JAX implementation of "Efficient-VDVAE: Less is more"

  Language:Python19261725

• LayneH/GreenMIM

  [NeurIPS2022] Official implementation of the paper 'Green Hierarchical Vision Transformer for Masked Image Modeling'.

  Language:Python1723126

• BeierZhu/Prompt-align

  [ICCV 2023] Prompt-aligned Gradient for Prompt Tuning

  Language:Python1533119

• colour-science/colour-hdri

  HDRI / Radiance image processing algorithms for Python

  Language:Jupyter Notebook13822819

• fenglinglwb/EDT

  On Efficient Transformer-Based Image Pre-training for Low-Level Vision

  Language:Python13014129

• hongfz16/HCMoCo

  [CVPR 2022 Oral] Versatile Multi-Modal Pre-Training for Human-Centric Perception

  Language:Python1181047

• enyac-group/supmae

  This is a offical PyTorch/GPU implementation of SupMAE.

  Language:Jupyter Notebook77453

• VITA-Group/ViT-Anti-Oversmoothing

  [ICLR 2022] "Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice" by Peihao Wang, Wenqing Zheng, Tianlong Chen, Zhangyang Wang

  Language:Python77997