ChanLIM

ChanLIM's Stars

• clovaai/rainbow-memory

  Official pytorch implementation of Rainbow Memory (CVPR 2021)

  Language:Python11928

• kumar-shridhar/PyTorch-BayesianCNN

  Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

  Language:Python1.4k325

• weijiaheng/Advances-in-Label-Noise-Learning

  A curated (most recent) list of resources for Learning with Noisy Labels

  68758

• GEM-benchmark/NL-Augmenter

  NL-Augmenter 🦎 → 🐍 A Collaborative Repository of Natural Language Transformations

  Language:Python778197

• tkipf/pygcn

  Graph Convolutional Networks in PyTorch

  Language:Python5.2k1.2k

• sail-sg/volo

  VOLO: Vision Outlooker for Visual Recognition

  Language:Jupyter Notebook93594

• qiskit-community/IBMQuantumChallenge2020

  Quantum Challenge problem sets

  Language:Jupyter Notebook253142

• pytorch/xla

  Enabling PyTorch on XLA Devices (e.g. Google TPU)

  Language:C++2.5k482

• toriving/text-classification-transformers

  Easy text classification for everyone : Bert based models via Huggingface transformers (KR / EN)

  Language:Python396

• albumentations-team/albumentations

  Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

  Language:Python14.3k1.6k

• lukemelas/do-you-even-need-attention

  Is the attention layer even necessary? (https://arxiv.org/abs/2105.02723)

  Language:Python48232

• Newbeeer/L_DMI

  Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"

  Language:Python11716

• xiaoboxia/CDR

  ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels

  Language:Python7510

• lightly-ai/lightly

  A python library for self-supervised learning on images.

  Language:Python3.2k286

• facebookresearch/barlowtwins

  PyTorch implementation of Barlow Twins.

  Language:Python965128

• kekmodel/MPL-pytorch

  Unofficial PyTorch implementation of "Meta Pseudo Labels"

  Language:Python38369

• microsoft/MLC

  Meta Label Correction for Noisy Label Learning

  Language:Python8221

• naver-ai/relabel_imagenet

  Language:Python39938

• chenpf1025/RobustnessAccuracy

  AAAI 2021: Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels

  Language:Python232

• JavierAntoran/Bayesian-Neural-Networks

  Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

  Language:Jupyter Notebook1.9k303

• pilsung-kang/Text-Analytics

  Unstructured Data Analysis (Graduate) @Korea University

  283127

• tristandeleu/pytorch-meta

  A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

  Language:Python2k256

• lixin4ever/Conference-Acceptance-Rate

  Acceptance rates for the major AI conferences

  Language:Jupyter Notebook4.3k300

• jrzaurin/pytorch-widedeep

  A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch

  Language:Python1.3k190

• optuna/optuna

  A hyperparameter optimization framework

  Language:Python11k1k

• abhishekkrthakur/approachingalmost

  Approaching (Almost) Any Machine Learning Problem

  7.5k1.1k

• chenpf1025/IDN

  AAAI 2021: Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise

  Language:Python358

• zhaoxin94/awesome-domain-adaptation

  A collection of AWESOME things about domian adaptation

  5.1k872

• davda54/sam

  SAM: Sharpness-Aware Minimization (PyTorch)

  Language:Python1.8k196

• kornia/kornia

  Geometric Computer Vision Library for Spatial AI

  Language:Python10k974