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
siyuan-note/siyuan
A privacy-first, self-hosted, fully open source personal knowledge management software, written in typescript and golang.
rtqichen/torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
jphall663/awesome-machine-learning-interpretability
A curated list of awesome responsible machine learning resources.
TheNetAdmin/zjuthesis
Zhejiang University Graduation Thesis LaTeX Template
learnables/learn2learn
A PyTorch Library for Meta-learning Research
google-deepmind/dnc
A TensorFlow implementation of the Differentiable Neural Computer.
JavierAntoran/Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
lucidrains/byol-pytorch
Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch
sudharsan13296/Awesome-Meta-Learning
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
kumar-shridhar/PyTorch-BayesianCNN
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
wangyongjie-ntu/Awesome-explainable-AI
A collection of research materials on explainable AI/ML
godweiyang/NN-CUDA-Example
Several simple examples for popular neural network toolkits calling custom CUDA operators.
BlackHC/tfpyth
Putting TensorFlow back in PyTorch, back in TensorFlow (differentiable TensorFlow PyTorch adapters).
dso-org/deep-symbolic-optimization
A deep learning framework for symbolic optimization.
kakaobrain/torchlars
A LARS implementation in PyTorch
Sara-Ahmed/SiT
Self-supervised vIsion Transformer (SiT)
WeiChengTseng/Pytorch-PCGrad
Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"
lucidrains/pixel-level-contrastive-learning
Implementation of Pixel-level Contrastive Learning, proposed in the paper "Propagate Yourself", in Pytorch
PytLab/simpleflow
A simple TensorFlow-like graph computation framework in Python for learning purpose
amiratag/ACE
Towards Automatic Concept-based Explanations
samaonline/Orthogonal-Convolutional-Neural-Networks
Code for paper "Orthogonal Convolutional Neural Networks".
luoxi-model/luoxi_models
see readme
zhangyongshun/resnet_finetune_cub
Fine tuning Codes for ResNet on cub-200-2011
tjoo512/belief-matching-framework
Belief matching framework official implementation
jdonnelly36/Deformable-ProtoPNet
The official repository for Deformable ProtoPNet, as described in "Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes".
psavine42/fun-with-dnc
Pytorch Implementation of Deepmind's 'Hybrid computing using a neural network with dynamic external memory' (Differentiable Neural Computer) + some applications
123fxdx/CNNvisualizationTSGB
TSGB: Target-Selective Gradient Backprop for Probing CNN Visual Saliency, Pytorch
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
foursevenlove/protoattend
HuaWei-ascend-zhongzhi-protoatted