RyuTian's Stars
ultralytics/yolov3
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
Tencent/ObjectDetection-OneStageDet
单阶段通用目标检测器
ShuoYang-1998/Few_Shot_Distribution_Calibration
[ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration
kkanshul/finegan
FineGAN: Unsupervised Hierarchical Disentanglement for Fine-grained Object Generation and Discovery
1Konny/FactorVAE
Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)
dfdazac/vaesbd
Variational Autoencoder with Spatial Broadcast Decoder
besterma/robust_disentanglement
Code supporting the NeurIPS 2020 publication "Robust Disentanglement of a Few Factors at a Time"
scutan90/CNN-Visualization
CNN可视化、理解CNN
mboboGO/DVBE
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
google-research/vision_transformer
Schlumberger/joint-vae
Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation :star2:
YongfeiYan/Gumbel_Softmax_VAE
PyTorch implementation of a Variational Autoencoder with Gumbel-Softmax Distribution
sbharadwajj/awesome-zero-shot-learning
A curated list of papers, code and resources pertaining to zero shot learning
peymanbateni/simple-cnaps
Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022), and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (SSRN Electronic Journal)
zhixuan-lin/SPACE
Official PyTorch implementation of "SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition"
zhixuan-lin/IODINE
PyTorch re-implementation of Multi-Object Representation Learning with Iterative Variational Inference
BoChenGroup/WHAI
This is the demo code for "WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling"
GANs-in-Action/gans-in-action
Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
locuslab/optnet
OptNet: Differentiable Optimization as a Layer in Neural Networks
kjunelee/MetaOptNet
Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)
adambielski/siamese-triplet
Siamese and triplet networks with online pair/triplet mining in PyTorch
oneHuster/Meta-Learning-Papers
A classified list of meta learning papers based on realm.
ramprs/grad-cam
[ICCV 2017] Torch code for Grad-CAM
jacobgil/pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Jongchan/attention-module
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
heykeetae/Self-Attention-GAN
Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)
Yangyangii/GAN-Tutorial
Simple Implementation of many GAN models with PyTorch.
ptrblck/prog_gans_pytorch_inference
PyTorch inference for "Progressive Growing of GANs" with CelebA snapshot
facebookresearch/pytorch_GAN_zoo
A mix of GAN implementations including progressive growing