StyxXuan

StyxXuan's Stars

• hbzju/SoLar

  Source code for NeurIPS 2022 paper SoLar

  Language:Python261

• kfzyqin/Research-Softmax-with-Mutual-Information

  Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".

  Language:Python9910

• ShadeAlsha/LTR-weight-balancing

  CVPR 2022 - official implementation for "Long-Tailed Recognition via Weight Balancing" https://arxiv.org/abs/2203.14197

  Language:Jupyter Notebook11910

• weiaicunzai/pytorch-cifar100

  Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

  Language:Python4.2k1.2k

• zhangyongshun/BagofTricks-LT

  A scientific and useful toolbox, which contains practical and effective long-tail related tricks with extensive experimental results

  Language:Python57576

• lvyilin/pytorch-fgvc-dataset

  PyTorch custom dataset APIs -- CUB-200-2011, Stanford Dogs, Stanford Cars, FGVC Aircraft, NABirds, Tiny ImageNet, iNaturalist2017

  Language:Python14623

• dvirsamuel/DRAGON

  [WACV21] Code for our paper: Samuel, Atzmon and Chechik, "From Generalized zero-shot learning to long-tail with class descriptors"

  Language:Python282

• zhangyongshun/resnet_finetune_cub

  Fine tuning Codes for ResNet on cub-200-2011

  Language:Python4021

• xiao-he/HSIC

  Hilbert-schmidt independence criteria

  Language:Python101

• PRIS-CV/Mutual-Channel-Loss

  Code release for The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification (TIP 2020)

  Language:Python25743

• PRIS-CV/Fine-Grained-or-Not

  Code release for Your “Flamingo” is My “Bird”: Fine-Grained, or Not (CVPR 2021 Oral)

  Language:Python589

• MonsterZhZh/HRN

  Implementation for Label Relation Graphs Enhanced Hierarchical Residual Network for Hierarchical Multi-Granularity Classification

  Language:Python513

• ankitdhall/learning_embeddings

  Code for CVPR-W 2020 paper "Hierarchical Image Classification using Entailment Cone Embeddings" https://arxiv.org/abs/2004.03459

  Language:Python217

• 07Agarg/HIERMATCH

  Code for the Paper HIERMATCH: Leveraging Label Hierarchies for Improving Semi-Supervised Learning, accepted in WACV 2022

  Language:Python63

• songjiang0909/Causal-Inference-on-Networked-Data

  Code for paper "Estimating Causal Effects on Networked Observational Data via Representation Learning"

  Language:Python16

• danielgreenfeld3/XIC

  Robust Learning with the Hilbert-Schmidt Independence Criterion

  Language:Python416

• HobbitLong/SupContrast

  PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

  Language:Python3.1k528

• causal-machine-learning-lab/mliv

  Language:Python274

• 1Konny/VIB-pytorch

  Pytorch implementation of Deep Variational Information Bottleneck

  Language:Python17523

• py-why/EconML

  ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

  Language:Jupyter Notebook3.8k713

• diegoalejogm/gans

  Generative Adversarial Networks implemented in PyTorch and Tensorflow

  Language:Jupyter Notebook835351

• adeshpande3/Generative-Adversarial-Networks

  Tutorial on GANs

  Language:Jupyter Notebook288128

• Wangt-CN/IP-IRM

  [NeurIPS 2021 Spotlight] The PyTorch implementation of paper "Self-Supervised Learning Disentangled Group Representation as Feature"

  Language:Python12916

• salesforce/hierarchicalContrastiveLearning

  Language:Python14914

• hirl-team/HCSC

  [CVPR 2022] PyTorch implementation of Hierarchical Contrastive Selective Coding (HCSC) (https://arxiv.org/abs/2202.00455)

  Language:Python13121

• zvtvz/zvt

  modular quant framework.

  Language:Python3.2k858

• shenweichen/DeepCTR-Torch

  【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

  Language:Python3k701

• hbzju/PiCO

  PyTorch implementation of PiCO https://arxiv.org/abs/2201.08984

  Language:Python20534

• anpwu/CB-IV

  Language:Python82

• geopanag/awesome-influence-maximization-papers

  10328