SethDeng

SethDeng's Stars

• ccfddl/ccf-deadlines

  ⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~

  Language:Vue7.2k2097484

• Lyken17/pytorch-OpCounter

  Count the MACs / FLOPs of your PyTorch model.

  Language:Python5k29171531

• dk-liang/Awesome-Visual-Transformer

  Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

  3.5k10141400

• facebookresearch/vissl

  VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

  Language:Jupyter Notebook3.3k52173335

• open-mmlab/mmselfsup

  OpenMMLab Self-Supervised Learning Toolbox and Benchmark

  Language:Python3.2k43279435

• ildoonet/pytorch-gradual-warmup-lr

  Gradually-Warmup Learning Rate Scheduler for PyTorch

  Language:Python9881018126

• Duan-JM/awesome-papers-fewshot

  Collection for Few-shot Learning

  Language:TeX981378134

• AntreasAntoniou/HowToTrainYourMAMLPytorch

  The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.

  Language:Python8031243141

• open-mmlab/mmfewshot

  OpenMMLab FewShot Learning Toolbox and Benchmark

  Language:Python7231099120

• locuslab/qpth

  A fast and differentiable QP solver for PyTorch.

  Language:Python7052852104

• Sha-Lab/FEAT

  The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"

  Language:Python423138284

• yaoyao-liu/few-shot-classification-leaderboard

  Leaderboards for few-shot image classification on miniImageNet, tieredImageNet, FC100, and CIFAR-FS.

  Language:HTML38514773

• WangYueFt/rfs

  Language:Python36973867

• xyupeng/ContrastiveCrop

  [CVPR 2022 Oral] Crafting Better Contrastive Views for Siamese Representation Learning

  Language:Python28682227

• njulus/GLoFA

  This is the code of AAAI'21 paper "Tailoring Embedding Function to Heterogeneous Few-Shot Tasks by Global and Local Feature Adaptors".

  Language:Python10200

• luanshiyinyang/Models

  the implementation of classical network

  Language:Jupyter Notebook4201

• JJBOY/FLOPs

  Auto compute the FLOPs of the nerural network with Pytorch.

  Language:Python2102

• SethDeng/ANIML

  Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".

  Language:Jupyter Notebook10

• SethDeng/CSEI

  Learning Intact Features by Erasing-Inpainting for Few-shot Classification

  Language:Python1000

• SethDeng/pt.darts

  PyTorch Implementation of DARTS: Differentiable Architecture Search

  Language:Python10