RyuTian

RyuTian's Stars

• ultralytics/yolov3

  YOLOv3 in PyTorch > ONNX > CoreML > TFLite

  Language:Python10.1k3.4k

• Tencent/ObjectDetection-OneStageDet

  单阶段通用目标检测器

  Language:Python2k499

• ShuoYang-1998/Few_Shot_Distribution_Calibration

  [ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration

  Language:Python46971

• kkanshul/finegan

  FineGAN: Unsupervised Hierarchical Disentanglement for Fine-grained Object Generation and Discovery

  Language:Python27743

• 1Konny/FactorVAE

  Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)

  Language:Python25747

• dfdazac/vaesbd

  Variational Autoencoder with Spatial Broadcast Decoder

  Language:Python353

• besterma/robust_disentanglement

  Code supporting the NeurIPS 2020 publication "Robust Disentanglement of a Few Factors at a Time"

  Language:Python41

• scutan90/CNN-Visualization

  CNN可视化、理解CNN

  658155

• mboboGO/DVBE

  Language:Python382

• 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:Python31.2k4.7k

• google-research/vision_transformer

  Language:Jupyter Notebook10k1.3k

• Schlumberger/joint-vae

  Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation :star2:

  Language:Jupyter Notebook45862

• YongfeiYan/Gumbel_Softmax_VAE

  PyTorch implementation of a Variational Autoencoder with Gumbel-Softmax Distribution

  Language:Python19837

• sbharadwajj/awesome-zero-shot-learning

  A curated list of papers, code and resources pertaining to zero shot learning

  908163

• 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)

  Language:Python11224

• zhixuan-lin/SPACE

  Official PyTorch implementation of "SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition"

  Language:Python10030

• zhixuan-lin/IODINE

  PyTorch re-implementation of Multi-Object Representation Learning with Iterative Variational Inference

  Language:Python5712

• BoChenGroup/WHAI

  This is the demo code for "WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling"

  Language:Matlab83

• GANs-in-Action/gans-in-action

  Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

  Language:Jupyter Notebook1k418

• locuslab/optnet

  OptNet: Differentiable Optimization as a Layer in Neural Networks

  Language:Python50176

• kjunelee/MetaOptNet

  Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)

  Language:Python52295

• adambielski/siamese-triplet

  Siamese and triplet networks with online pair/triplet mining in PyTorch

  Language:Python3.1k633

• oneHuster/Meta-Learning-Papers

  A classified list of meta learning papers based on realm.

  34542

• ramprs/grad-cam

  [ICCV 2017] Torch code for Grad-CAM

  Language:Lua1.5k222

• jacobgil/pytorch-grad-cam

  Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

  Language:Python10.1k1.5k

• Jongchan/attention-module

  Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"

  Language:Python2k399

• heykeetae/Self-Attention-GAN

  Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)

  Language:Python2.5k469

• Yangyangii/GAN-Tutorial

  Simple Implementation of many GAN models with PyTorch.

  Language:Jupyter Notebook380109

• ptrblck/prog_gans_pytorch_inference

  PyTorch inference for "Progressive Growing of GANs" with CelebA snapshot

  Language:Python32138

• facebookresearch/pytorch_GAN_zoo

  A mix of GAN implementations including progressive growing

  Language:Python1.6k270