tobyma2020

tobyma2020's Stars

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

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

  69458

• zerens/Jo-SNC

  Language:Python1

• bytedance/TextHarmony

  The official code for NeurIPS 2024 paper: Harmonizing Visual Text Comprehension and Generation

  Language:Python908

• amirgholami/PyHessian

  PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks

  Language:Jupyter Notebook699121

• CerebrasResearch/nanoGNS

  Minimal reference implementations for per-example gradient norm methods for computing GNS

  Language:Jupyter Notebook31

• frgfm/torch-cam

  Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)

  Language:Python2.1k211

• utkuozbulak/pytorch-cnn-visualizations

  Pytorch implementation of convolutional neural network visualization techniques

  Language:Python7.9k1.5k

• willwhitney/reprieve

  A library for evaluating representations.

  Language:Python7410

• AUTOMATIC1111/stable-diffusion-webui

  Stable Diffusion web UI

  Language:Python144k27.1k

• YannDubs/Neural-Process-Family

  Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.

  Language:Jupyter Notebook20846

• IntelLabs/bayesian-torch

  A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch

  Language:Python55373

• uncertainty-toolbox/uncertainty-toolbox

  Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

  Language:Python1.8k130

• db-Lee/Meta-GMVAE

  Language:Python397

• Gabriel-p/pythonMCMC

  A list of Python-based MCMC & ABC packages

  Language:HTML12312

• AlaaLab/deep-learning-uncertainty

  Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.

  Language:Jupyter Notebook61277

• 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

• guixianjin/noisy_label_papers

  This repository is used to record current noisy label paper in mainstream ML and CV conference and journal.

  343

• bhanML/label-noise-papers

  An update-to-date list for papers related with label-noise representation learning is here.

  8811

• iBelieveCJM/Tricks-of-Semi-supervisedDeepLeanring-Pytorch

  PseudoLabel 2013, VAT, PI model, Tempens, MeanTeacher, ICT, MixMatch, FixMatch

  Language:Python44572

• snap-stanford/GraphGym

  Platform for designing and evaluating Graph Neural Networks (GNN)

  Language:Python1.7k186

• Jarvis73/LDA

  Tensorflow & PyTorch implementation of LDA loss. Paper: Deep Linear Discriminant Analysis http://arxiv.org/abs/1511.04707

  Language:Python10

• Raymond-sci/PICA

  Official Pytorch Implementation for CVPR'20 paper: Deep Semantic Clustering by Partition Confidence Maximisation

  Language:Python5716

• PatrickHua/SimSiam

  A pytorch implementation for paper 'Exploring Simple Siamese Representation Learning'

  Language:Python817134

• icemiliang/pyvot

  A Python implementation of Monge optimal transportation

  Language:Python499

• ultralytics/yolov5

  YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

  Language:Python51.5k16.5k

• xialeiliu/Awesome-Incremental-Learning

  Awesome Incremental Learning

  3.9k579

• songhwanjun/Awesome-Noisy-Labels

  A Survey

  54531

• yassouali/awesome-semi-supervised-learning

  😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

  1.8k227

• salesforce/MoPro

  MoPro: Webly Supervised Learning

  Language:Python878

• subeeshvasu/Awesome-Learning-with-Label-Noise

  A curated list of resources for Learning with Noisy Labels

  2.6k353