ChenYuxu4n's Stars
open-mmlab/mmdetection
OpenMMLab Detection Toolbox and Benchmark
SJTU-Thinklab-Det/DOTA-DOAI
This repo is the codebase for our team to participate in DOTA related competitions, including rotation and horizontal detection.
facebookresearch/detr
End-to-End Object Detection with Transformers
imtiazziko/LaplacianShot
Laplacian Regularized Few Shot Learning
icoz69/DeepEMD
Code for paper "DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers", CVPR2020
CVMI-Lab/PAConv
(CVPR 2021) PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds
YisenWang/MART
Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"
mariogeiger/se3cnn
Euclidean Neural Networks
danielewworrall/cubenet
3D Roto-translation equivariant convolutions
rguo12/awesome-causality-algorithms
An index of algorithms for learning causality with data
changgyhub/leetcode_101
LeetCode 101:和你一起你轻松刷题(C++)
WenbinLee/CovaMNet
The Pytorch code of "Distribution Consistency based Covariance Metric Networks for Few-shot Learning", AAAI 2019.
aicaffeinelife/Pytorch-STN
Spatial Transformer Networks in Pytorch.
AlexHex7/Spatial-Transformer-Networks_pytorch
Spatial Transformer Networks. Refer to daviddao/spatial-transformer-tensorflow.
chenhsuanlin/inverse-compositional-STN
Inverse Compositional Spatial Transformer Networks :performing_arts: (CVPR 2017 oral)
HobbitLong/PyContrast
PyTorch implementation of Contrastive Learning methods
indy-lab/ProtoTransfer
Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"
valeoai/BF3S
Boosting Few-Shot Visual Learning with Self-Supervision
facebookresearch/moco
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
jason718/awesome-self-supervised-learning
A curated list of awesome self-supervised methods
open-mmlab/mmselfsup
OpenMMLab Self-Supervised Learning Toolbox and Benchmark
hytseng0509/CrossDomainFewShot
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)
AntixK/PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
bayesgroup/deepbayes-2019
Practical assignments of the Deep|Bayes summer school 2019
ritheshkumar95/pytorch-vqvae
Vector Quantized VAEs - PyTorch Implementation
1Konny/VQ-VAE
Pytorch Implementation of "Neural Discrete Representation Learning"
znxlwm/FUNIT-pytorch
Pytorch implementation of "Few-Shot Unsupervised Image-to-Image Translation" (ICCV 2019)
ogroth/tf-gqn
Tensorflow implementation of Neural Scene Representation and Rendering
iShohei220/torch-gqn
PyTorch Implementation of Generative Query Network
google-deepmind/gqn-datasets
Datasets used to train Generative Query Networks (GQNs) in the ‘Neural Scene Representation and Rendering’ paper.