jueduilingdu's Stars
enriccorona/GanHand
PyTorch implementation for the paper GanHand: Predicting Human Grasp Affordances in Multi-Object Scenes (CVPR 2020 Oral)
weihaox/awesome-neural-rendering
Resources of Neural Rendering
THU-DA-6D-Pose-Group/Self6D-Diff-Renderer
The differentiable rendering code for "Self6D: Self-Supervised Monocular 6D Object Pose Estimation (ECCV 2020, oral)"
korrawe/grasping_field
weihaox/awesome-image-translation
A collection of awesome resources image-to-image translation.
IvanBongiorni/GAN-RNN_Timeseries-imputation
Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.
jackfrued/Python-100-Days
Python - 100天从新手到大师
danieljf24/awesome-video-text-retrieval
A curated list of deep learning resources for video-text retrieval.
zhaoxin94/awesome-domain-adaptation
A collection of AWESOME things about domian adaptation
linhandev/medSeg
Medical Image Segmentation Toolkit based on PaddlePaddle - 基于paddle的医学影像分割框架
sodawater/T-CVAE
Transformer-Based Conditioned Variational Autoencoder for Story Completion
iggredible/Learn-Vim
Learning Vim and Vimscript doesn't have to be hard. This is the guide that you're looking for 📖
eminorhan/baby-vision
Self-supervised learning through the eyes of a child
snap-stanford/distance-encoding
Distance Encoding for GNN Design
ripperhe/Bob
Bob 是一款 macOS 平台的翻译和 OCR 软件。
ehsanik/touchTorch
Use the Force Luke! Learning to Predict Physical Forces by Simulating Effects [CVPR2020] (https://arxiv.org/pdf/2003.12045.pdf)
yzou2/CRST
Code for <Confidence Regularized Self-Training> in ICCV19 (Oral)
aws/amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
microsoft/computervision-recipes
Best Practices, code samples, and documentation for Computer Vision.
forence/Awesome-Visual-Captioning
This repository focus on Image Captioning & Video Captioning & Seq-to-Seq Learning & NLP
ml-jku/hopfield-layers
Hopfield Networks is All You Need
GraphNAS/GraphNAS
This directory contains code necessary to run the GraphNAS algorithm.
p-lambda/gradual_domain_adaptation
iBelieveCJM/pseudo_label-pytorch
The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks
dev-sungman/Awesome-Self-Supervised-Papers
Paper bank for Self-Supervised Learning
hugochan/RL-based-Graph2Seq-for-NQG
Code & data accompanying the ICLR 2020 paper "Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation"
deep-learning-with-pytorch/dlwpt-code
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
jwzhanggy/Graph-Bert
Source code of Graph-Bert
PaddlePaddle/ERNIE
Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.
DQing/books-1
"我的阅历"