createrfang

createrfang's Stars

• huggingface/pytorch-image-models

  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  Language:Python33.7k3179644.9k

• siyuan-note/siyuan

  A privacy-first, self-hosted, fully open source personal knowledge management software, written in typescript and golang.

  Language:TypeScript33.7k15013.9k2.1k

• mdbloice/Augmentor

  Image augmentation library in Python for machine learning.

  Language:Python5.1k122197867

• jphall663/awesome-machine-learning-interpretability

  A curated list of awesome responsible machine learning resources.

  3.8k13169598

• TheNetAdmin/zjuthesis

  Zhejiang University Graduation Thesis LaTeX Template

  Language:TeX2.9k14326661

• learnables/learn2learn

  A PyTorch Library for Meta-learning Research

  Language:Python2.7k30260357

• google-deepmind/dnc

  A TensorFlow implementation of the Differentiable Neural Computer.

  Language:Python2.5k16337442

• 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 Notebook1.9k2924305

• lucidrains/byol-pytorch

  Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

  Language:Python1.8k2683249

• sudharsan13296/Awesome-Meta-Learning

  A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.

  1.5k682297

• kumar-shridhar/PyTorch-BayesianCNN

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

  Language:Python1.5k2964328

• wangyongjie-ntu/Awesome-explainable-AI

  A collection of research materials on explainable AI/ML

  Language:Markdown1.5k418203

• godweiyang/NN-CUDA-Example

  Several simple examples for popular neural network toolkits calling custom CUDA operators.

  Language:Python1.4k914198

• t-vi/pytorch-tvmisc

  Totally Versatile Miscellanea for Pytorch

  Language:Jupyter Notebook470131373

• Sara-Ahmed/SiT

  Self-supervised vIsion Transformer (SiT)

  Language:Python327133148

• WeiChengTseng/Pytorch-PCGrad

  Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"

  Language:Python32741744

• lucidrains/pixel-level-contrastive-learning

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

  Language:Python259111727

• PytLab/simpleflow

  A simple TensorFlow-like graph computation framework in Python for learning purpose

  Language:Python20115151

• samaonline/Orthogonal-Convolutional-Neural-Networks

  Code for paper "Orthogonal Convolutional Neural Networks".

  Language:Python11641213

• konosp/propensity-score-matching

  Language:Jupyter Notebook1034248

• luoxi-model/luoxi_models

  see readme

  Language:Python93107

• jdonnelly36/Deformable-ProtoPNet

  The official repository for Deformable ProtoPNet, as described in "Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes".

  Language:Python422910

• zhangyongshun/resnet_finetune_cub

  Fine tuning Codes for ResNet on cub-200-2011

  Language:Python411620

• tjoo512/belief-matching-framework

  Belief matching framework official implementation

  Language:Python39504

• causal-machine-learning-lab/mliv

  Language:Python27104

• sirius8050/Expected-Calibration-Error

  Language:Python21301

• psavine42/fun-with-dnc

  Pytorch Implementation of Deepmind's 'Hybrid computing using a neural network with dynamic external memory' (Differentiable Neural Computer) + some applications

  Language:Python19305

• 123fxdx/CNNvisualizationTSGB

  TSGB: Target-Selective Gradient Backprop for Probing CNN Visual Saliency, Pytorch

  Language:Python5210

• ntomen/Windowed-Convolutions-for-CNNs

  Official repository of the ICCV 2021 paper "Spectral Leakage and Rethinking the Kernel Size in CNNs" by Tomen and van Gemert

  Language:Python4100

• foursevenlove/protoattend

  HuaWei-ascend-zhongzhi-protoatted

  Language:Python3100