gaobo1020

gaobo1020's Stars

• facebookresearch/fairseq

  Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

  Language:Python30.4k6.4k

• FreddeFrallan/Multilingual-CLIP

  OpenAI CLIP text encoders for multiple languages!

  Language:Jupyter Notebook75972

• billjie1/Chinese-CLIP

  Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.

  16459

• jeonsworld/ViT-pytorch

  Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)

  Language:Jupyter Notebook1.9k368

• lukemelas/PyTorch-Pretrained-ViT

  Vision Transformer (ViT) in PyTorch

  Language:Python785127

• lucidrains/vit-pytorch

  Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

  Language:Python20.3k3k

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python134k26.8k

• 649453932/Bert-Chinese-Text-Classification-Pytorch

  使用Bert，ERNIE，进行中文文本分类

  Language:Python4k898

• codertimo/BERT-pytorch

  Google AI 2018 BERT pytorch implementation

  Language:Python6.2k1.3k

• open-mmlab/mmselfsup

  OpenMMLab Self-Supervised Learning Toolbox and Benchmark

  Language:Python3.2k431

• Cysu/open-reid

  Open source person re-identification library in python

  Language:Python1.3k349

• KaiyangZhou/deep-person-reid

  Torchreid: Deep learning person re-identification in PyTorch.

  Language:Python4.3k1.1k

• facebookresearch/mae

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

  Language:Python7.3k1.2k

• Shaoli-Huang/SPS

  Language:Python143

• yuval-alaluf/restyle-encoder

  Official Implementation for "ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement" (ICCV 2021) https://arxiv.org/abs/2104.02699

  Language:Python1k156

• omertov/encoder4editing

  Official implementation of "Designing an Encoder for StyleGAN Image Manipulation" (SIGGRAPH 2021) https://arxiv.org/abs/2102.02766

  Language:Jupyter Notebook944154

• openai/CLIP

  CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

  Language:Jupyter Notebook25.6k3.3k

• amusi/ICCV2023-Papers-with-Code

  ICCV 2023 论文和开源项目合集

  2.5k249

• RL-VIG/LibFewShot

  LibFewShot: A Comprehensive Library for Few-shot Learning. TPAMI 2023.

  Language:Python910173

• rosinality/style-based-gan-pytorch

  Implementation A Style-Based Generator Architecture for Generative Adversarial Networks in PyTorch

  Language:Python1.1k233

• NVlabs/stylegan

  StyleGAN - Official TensorFlow Implementation

  Language:Python14.1k3.2k

• GWUvision/Hotels-50K

  Language:Python13723

• CSAILVision/places365

  The Places365-CNNs for Scene Classification

  Language:Python1.9k536

• kaidic/LDAM-DRW

  [NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss

  Language:Python645116

• zhanghang1989/ResNeSt

  ResNeSt: Split-Attention Networks

  Language:Python3.2k496

• Cadene/pretrained-models.pytorch

  Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

  Language:Python9k1.8k

• huggingface/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

  Language:Python32k4.7k

• facebookresearch/FixRes

  This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423

  Language:Python1k149

• msight-tech/research-xbm

  XBM: Cross-Batch Memory for Embedding Learning

  Language:Python30538

• microsoft/Swin-Transformer

  This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

  Language:Python13.8k2k