Noire

Noire's Stars

• open-mmlab/mmsegmentation

  OpenMMLab Semantic Segmentation Toolbox and Benchmark.

  Language:Python8.3k542.4k2.6k

• Lyken17/pytorch-OpCounter

  Count the MACs / FLOPs of your PyTorch model.

  Language:Python4.9k29170527

• sovrasov/flops-counter.pytorch

  Flops counter for convolutional networks in pytorch framework

  Language:Python2.8k1598307

• mcordts/cityscapesScripts

  README and scripts for the Cityscapes Dataset

  Language:Python2.2k44140608

• Swall0w/torchstat

  Model analyzer in PyTorch

  Language:Python1.5k1244142

• matthewvowels1/Awesome-VAEs

  A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

  78632377

• blackfeather-wang/ISDA-for-Deep-Networks

  An efficient implicit semantic augmentation method, complementary to existing non-semantic techniques.

  Language:Python583163594

• yxgeee/MMT

  [ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.

  Language:Python472104373

• thuml/CDAN

  Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)

  Language:Jupyter Notebook399103292

• lyakaap/VAT-pytorch

  Virtual Adversarial Training (VAT) implementation for PyTorch

  Language:Python29651243

• lucidrains/pixel-level-contrastive-learning

  Implementation of Pixel-level Contrastive Learning, proposed in the paper "Propagate Yourself", in Pytorch

  Language:Python252111727

• HUSTSYJ/DA_dahazing

  Domain Adaptation for Image Dehazing, CVPR2020

  Language:Python24863540

• woozch/DSBN

  Official Implementation of "Domain Specific Batch Normalization for Unsupervised Domain Adaptation (CVPR2019)"

  Language:Python14741028

• uvavision/Curriculum-Labeling

  [AAAI 2021] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning

  Language:Python1352522

• sakaridis/fog_simulation-SFSU_synthetic

  Language:Matlab1102219

• kgl-prml/Pixel-Level-Cycle-Association

  Pytorch Implementation for NeurIPS (oral) paper: Pixel Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation

  Language:Python9215511

• lyttonhao/Neural-Style-MMD

  MXNet Code For Demystifying Neural Style Transfer (IJCAI 2017)

  Language:Python836922

• yueatsprograms/uda_release

  Unsupervised Domain Adaptation through Self-Supervision

  Language:Python797617

• blueocean92/deep_constrained_clustering

  Language:Python393114

• ruthcfong/invert

  PyTorch implementation of Mahendran & Vedaldi, 2015: "Understanding Deep Image Representations by Inverting Them"

  Language:Python393210

• a1600012888/clsa_pytorch

  Unofficial implement of CLSA(Contrastive Learning with Stronger Augmentations) with minimum modifications on official moco's code

  Language:Python32432

• da2so/Data-Free_Network_Quantization_With_Adversarial_Knowledge_Distillation

  Data-Free Network Quantization With Adversarial Knowledge Distillation PyTorch

  Language:Python29115

• liruoteng/3DRealisticSceneDehaze

  Code for Learning to Dehaze From Realistic Scene with A Fast Physics Based Dehazing Network

  23531

• bolianchen/Data-Free-Learning-of-Student-Networks

  Language:Python21302

• valeoai/ESL

  ESL: Entropy-guided Self-supervised Learning for Domain Adaptation in Semantic Segmentation

  Language:Python19533

• xudonmao/VMT

  Language:Python19114

• YuanWu3/Dual-Mixup-Regularized-Learning-for-Adversarial-Domain-Adaptation

  Implementation of "Dual Mixup Regularized Learning for Adversarial Domain Adaptation" in Pytorch

  Language:Python12115

• AlexandrosFerles/NIPS_2019_Reproducibilty_Challenge_Zero-shot_Knowledge_Transfer_via_Adversarial_Belief_Matching

  Language:Python10400

• ChanghwaPark/CCADA

  Joint Contrastive Learning for Unsupervised Domain Adaptation

  Language:Python10211

• lliai/DeepInversion

  Language:Python220