swasun's Stars
microsoft/PowerToys
Windows system utilities to maximize productivity
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
cool-RR/PySnooper
Never use print for debugging again
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
lanpa/tensorboardX
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
pytorch/captum
Model interpretability and understanding for PyTorch
tamarott/SinGAN
Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
facebookresearch/hiplot
HiPlot makes understanding high dimensional data easy
NVlabs/few-shot-vid2vid
Pytorch implementation for few-shot photorealistic video-to-video translation.
rosinality/vq-vae-2-pytorch
Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch
google-research/disentanglement_lib
disentanglement_lib is an open-source library for research on learning disentangled representations.
nilearn/nilearn
Machine learning for NeuroImaging in Python
jsyoon0823/TimeGAN
Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019
YannDubs/disentangling-vae
Experiments for understanding disentanglement in VAE latent representations
1Konny/Beta-VAE
Pytorch implementation of β-VAE
Schlumberger/joint-vae
Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation :star2:
muhanzhang/pytorch_DGCNN
PyTorch implementation of DGCNN
pclucas14/pixel-cnn-pp
Pytorch Implementation of OpenAI's PixelCNN++
bshall/ZeroSpeech
VQ-VAE for Acoustic Unit Discovery and Voice Conversion
facebookresearch/c3dpo_nrsfm
C3DPO - Canonical 3D Pose Networks for Non-rigid Structure From Motion.
google-deepmind/grid-cells
Implementation of the supervised learning experiments in Vector-based navigation using grid-like representations in artificial agents, as published at https://www.nature.com/articles/s41586-018-0102-6
EtienneCmb/visbrain
A multi-purpose GPU-accelerated open-source suite for brain data visualization
facebookresearch/hgnn
Hyperbolic Graph Neural Networks
rsagroup/rsatoolbox
Python library for Representational Similarity Analysis
jxhe/vae-lagging-encoder
PyTorch implementation of "Lagging Inference Networks and Posterior Collapse in Variational Autoencoders" (ICLR 2019)
takyamamoto/BNN-ANN-papers
Papers : Biological and Artificial Neural Networks
cc-hpc-itwm/GradVis
Charestlab/pySearchlight
python tool for searchlight mapping
brainets/ressources
BraiNets' ressources
StephaneCanu/covid_AI_resources