guanqj932's Stars
pianomania/infoGAN-pytorch
implement infoGAN using pytorch
xamyzhao/brainstorm
Implementation of "Data augmentation using learned transforms for one-shot medical image segmentation"
CannyLab/tsne-cuda
GPU Accelerated t-SNE for CUDA with Python bindings
scaelles/DEXTR-PyTorch
Deep Extreme Cut http://www.vision.ee.ethz.ch/~cvlsegmentation/dextr
hehefan/Unsupervised-Person-Re-identification-Clustering-and-Fine-tuning
cvat-ai/cvat
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
rtqichen/torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
GT-RIPL/L2C
Learning to Cluster. A deep clustering strategy.
SeongokRyu/Graph-neural-networks
vana77/Bottom-up-Clustering-Person-Re-identification
A Bottom-Up Clustering Approach to Unsupervised Person Re-identification, AAAI 2019 (Oral)
d2l-ai/d2l-zh
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
delira-dev/delira
Lightweight framework for fast prototyping and training deep neural networks with PyTorch and TensorFlow
layumi/Person-reID-verification
:koala: (pytorch version) TOMM2017 A Discriminatively Learned CNN Embedding for Person Re-identification :koala:
Yu-Wu/Decoupled-Novel-Object-Captioner
Code for Decoupled Novel Object Captioner
csyanbin/TPN
Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.
layumi/Person_reID_baseline_pytorch
:bouncing_ball_person: Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
yangze0930/NTS-Net
This is a PyTorch implementation of the ECCV2018 paper "Learning to Navigate for Fine-grained Classification" (Ze Yang, Tiange Luo, Dong Wang, Zhiqiang Hu, Jun Gao, Liwei Wang).
facebookresearch/pytext
A natural language modeling framework based on PyTorch
bhanML/Co-teaching
NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels
11-626/Deep-INFOMAX
This is a pytorch implementation of Deep-INFOMAX.
MasanoriYamada/Mine_pytorch
MINE: Mutual Information Neural Estimation in pytorch (unofficial)
pmcheng/rsna-pneumonia
3rd place solution for RSNA pneumonia detection challenge
songdejia/DFL-CNN
This is a pytorch re-implementation of Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition
dfdazac/dgi
TensorFlow implementation of Deep Graph Infomax
rdevon/DIM
Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"
guanqj932/Multi-label-chest-X-ray-image-classification-via-category-wise-residual-attention-learning
Multi-label chest X-ray image classification via category-wise residual attention learning
williamleif/graphsage-simple
Simple reference implementation of GraphSAGE.
google-deepmind/graph_nets
Build Graph Nets in Tensorflow
TiantianWang/CVPR18_detect_globally_refine_locally
Ugness/PiCANet-Implementation
Pytorch Implementation of PiCANet: Learning Pixel-wise Contextual Attention for Saliency Detection