YUE-FAN

YUE-FAN's Stars

• ildoonet/pytorch-randaugment

  Unofficial PyTorch Reimplementation of RandAugment.

  Language:Python62998

• PaulAlbert31/ReLaB

  Official repository for Reliable Label Bootstrapping

  Language:Python191

• gidariss/FeatureLearningRotNet

  Language:Python514120

• maple-research-lab/AET

  Auto-Encoding Transformations (AETv1), CVPR 2019

  Language:Python10828

• sthalles/PyTorch-BYOL

  PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning

  Language:Jupyter Notebook47972

• DonkeyShot21/essential-BYOL

  An essential implementation of BYOL in PyTorch + PyTorch Lightning

  Language:Python516

• p3i0t/SimCLR-CIFAR10

  Pytorch SimCLR on CIFAR10 (92.85% test accuracy)

  Language:Python5513

• GT-RIPL/FeatMatch

  PyTorch code for the paper: "FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning"

  Language:Python4911

• YUE-FAN/FixMatch-PyTorch

  Language:Python6

• Annusha/unsup_temp_embed

  Unsupervised learning of action classes with continuous temporal embedding (CVPR'19)

  Language:Python6714

• Annusha/LIReC

  Learning Interactions and Relationships between Movie Characters (CVPR'20)

  Language:Python213

• yaoyao-liu/meta-transfer-learning

  TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)

  Language:Python743149

• google-research/fixmatch

  A simple method to perform semi-supervised learning with limited data.

  Language:Python1.1k175

• valencebond/FixMatch_pytorch

  Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"

  Language:Python489

• semi-supervised-paper/semi-supervised-paper-implementation

  Reproduce some methods in semi-supervised papers.

  Language:Python372

• kekmodel/FixMatch-pytorch

  Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"

  Language:Python750170

• Eric-mingjie/rethinking-network-pruning

  Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)

  Language:Python1.5k293

• HRanWang/imagenet_whr

  Language:Python1

• max-andr/provably-robust-boosting

  Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks [NeurIPS 2019]

  Language:Python5012

• rloganiv/kglm-model

  Code for KGLM paper

  Language:Python12126

• d-li14/mobilenetv2.pytorch

  72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models

  Language:Python674189

• tonylins/pytorch-mobilenet-v2

  A PyTorch implementation of MobileNet V2 architecture and pretrained model.

  Language:Python1.4k328

• d-li14/octconv.pytorch

  PyTorch implementation of Octave Convolution with pre-trained Oct-ResNet and Oct-MobileNet models

  Language:Python29142

• facebookresearch/OctConv

  Code for paper

  Language:Python56280

• Causticity/sipp

  Language:Go102

• tensorflow/tensorflow

  An Open Source Machine Learning Framework for Everyone

  Language:C++186k74.3k

• shengxinjing/programmer-job-blacklist

  :see_no_evil:程序员找工作黑名单，换工作和当技术合伙人需谨慎啊 更新有赞

  Language:Shell28.5k1.8k

• pytorch/examples

  A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

  Language:Python22.4k9.5k

• kmario23/deep-learning-drizzle

  Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

  Language:HTML12.2k2.9k

• mmarius/pre-training

  Pre-Training Buys Better Robustness and Uncertainty

  Language:Python11