FrankWJW

FrankWJW's Stars

• facebookresearch/segment-anything

  The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook48.4k3136805.7k

• HarisIqbal88/PlotNeuralNet

  Latex code for making neural networks diagrams

  Language:TeX22.5k2271222.9k

• dair-ai/ml-visuals

  🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

  14k116501.4k

• mlfoundations/open_clip

  An open source implementation of CLIP.

  Language:Python10.7k815061k

• qubvel-org/segmentation_models.pytorch

  Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

  Language:Python9.9k836621.7k

• aladdinpersson/Machine-Learning-Collection

  A resource for learning about Machine learning & Deep Learning

  Language:Python7.8k1181272.7k

• kuangliu/pytorch-cifar

  95.47% on CIFAR10 with PyTorch

  Language:Python6.1k951362.2k

• Lyken17/pytorch-OpCounter

  Count the MACs / FLOPs of your PyTorch model.

  Language:Python4.9k29171529

• MLNLP-World/Paper-Writing-Tips

  MLNLP社区用来帮助大家避免论文投稿小错误的整理仓库。 Paper Writing Tips

  3.7k445474

• bethgelab/foolbox

  A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

  Language:Python2.8k46371429

• Harry24k/adversarial-attacks-pytorch

  PyTorch implementation of adversarial attacks [torchattacks]

  Language:Python1.9k19149354

• jakesnell/prototypical-networks

  Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

  Language:Python1.1k1331255

• MIC-DKFZ/batchgenerators

  A framework for data augmentation for 2D and 3D image classification and segmentation

  Language:Jupyter Notebook1.1k35101223

• google/svcca

  Language:Jupyter Notebook626250140

• Jingkang50/OODSurvey

  The Official Repository for "Generalized OOD Detection: A Survey"

  Language:Jupyter Notebook45014339

• WangYueFt/rfs

  Language:Python36883867

• gitabcworld/MatchingNetworks

  This repo provides pytorch code which replicates the results of the Matching Networks for One Shot Learning paper on the Omniglot and MiniImageNet dataset

  Language:Python3348980

• HzFu/COVID19_imaging_AI_paper_list

  COVID-19 imaging-based AI paper collection

  32919693

• yoyololicon/pytorch-NMF

  A pytorch package for non-negative matrix factorization.

  Language:Python22681624

• IBM/cdfsl-benchmark

  (ECCV 2020) Cross-Domain Few-Shot Learning Benchmarking System

  Language:Python225144548

• Peterisfar/YOLOV3

  yolov3 by pytorch

  Language:Python19644953

• linusericsson/ssl-transfer

  Official code for the CVPR 2021 paper "How Well Do Self-Supervised Models Transfer?"

  Language:Python1818929

• GuyHacohen/curriculum_learning

  Code implementing the experiments described in the paper "On The Power of Curriculum Learning in Training Deep Networks" by Hacohen & Weinshall (ICML 2019)

  Language:Python1083525

• blackfeather-wang/InfoPro-Pytorch

  Learning recognition/segmentation models without end-to-end training. 40%-60% less GPU memory footprint. Same training time. Better performance.

  Language:Jupyter Notebook904419

• chrysts/dsn_fewshot

  Language:Python9062119

• vkakerbeck/Progressively-Growing-Networks

  Experiments on different dataset on how to grow networks during training to learn new image categories.

  Language:Jupyter Notebook621012

• kamenbliznashki/chexpert

  CheXpert competition models -- attention augmented convolutions on DenseNet, ResNet; EfficientNet

  Language:Jupyter Notebook536521

• guoshengcv/CurriculumNet

  CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images

  Language:Python29205

• biomedia-mira/chexploration

  Official repository for 'Algorithmic encoding of protected characteristics in chest X-ray disease detection models'

  Language:Jupyter Notebook24203

• piratehao/Local-to-Global-Learning-for-DNNs

  Implementation of Local-to-Global-Learning-for-DNNs

  Language:Python8203