Jackie Loong (@dragen1860)

Top repositories

1

Deep-Learning-with-TensorFlow-book

深度学习入门开源书,基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
Jupyter Notebook
13,124
star
2

TensorFlow-2.x-Tutorials

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码,实战教程。
Jupyter Notebook
6,355
star
3

Deep-Learning-with-PyTorch-Tutorials

深度学习与PyTorch入门实战视频教程 配套源代码和PPT
Python
2,640
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4

MAML-Pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
Python
2,152
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5

awesome-meta-learning

A curated list of Meta-Learning resources/papers.
547
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6

GCN-PyTorch

Graph Convolution Network for PyTorch
Python
379
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7

LearningToCompare-Pytorch

Pytorch Implementation for CVPR2018 Paper: Learning to Compare: Relation Network for Few-Shot Learning
Python
250
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8

MAML-TensorFlow

Faster and elegant TensorFlow Implementation of paper: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Python
192
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9

Reptile-Pytorch

Python
144
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10

Deep-Learning-with-PyTorch-book

PyTorch深度学习开源电子书
127
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11

awesome-AutoML

A curated list of AutoML papers/tutorials/slides etc.
90
star
12

DARTS-PyTorch

PyTorch 1.0 supported for CNN exp.
Python
82
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13

DeepEmbeddingModel_ZSL-Pytorch

Pytorch code for CVPR 2017 paper: Learning a Deep Embedding Model for Zero-Shot Learning
Python
56
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14

pytorch-mnist-vae

Pytorch Implementation of variational auto-encoder for MNIST
Python
55
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15

GCN-TF2

Graph Convolution Network for TensorFlow 2 implementation.
Python
50
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16

CapsNet-Pytorch

Pytorch version of Hinton's Capsule Theory paper: Dynamic Routing Between Capsules
Python
45
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17

IntroVAE-Pytorch

Pytorch Implementation for paper: IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis
Python
39
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18

MAML-Pytorch-RL

Python
28
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19

Graph-Neural-Network-Papers

Curated Lists for graph neural network, graph convolutional network, graph attention network, etc.
28
star
20

PPO-Pytorch

Pytorch Implementation of Proximal Policy Optimization Algorithm
Python
20
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21

awesome-causal-reasoning

15
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22

PracticalDeepLearningTutorials

深度学习算法实战
Jupyter Notebook
13
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23

Meta-Learning-Papers

Latest papers collection of thoughtful work on meta-learning research
6
star
24

GAN

Pytorch Implementations for popular GAN algorithms.
Python
5
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25

memoryGAN-Tensorflow

Python
5
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26

DRL-tutorial

Deep Reinforcement Learning tutorials
Python
4
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27

dragen1860.github.io

Personal website on github
HTML
4
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28

Learning-from-data-Subtitles-

Learning from data 英文字幕 Caltech's Machine Learning Course - CS 156 by Professor Yaser Abu-Mostafa
4
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29

PhoneNet

Fast, Efficient and Elegant Android Neural Network Library with strong GPU acceleration, implemented CNN, Squeezenet yet.
Java
4
star
30

Casual-Reasoning-Papers

Papers collection of latest insightful work on casual reasoning research.
4
star
31

NTM-Pytorch

Neural Turing Machine or Differentiable Neural Computer Implementation in Pytorch 0.4.0, with cuda
Python
4
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32

PytorchTutorialsCN

3
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33

LSH

Standard Locality Sensitive Hashing
C++
3
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34

Coarse_ImageNet_Labels

2
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35

AutoPyTorch

2
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36

Pytorch-Episode

Notes about some advanced usage or easy-wrong highlights about Pytorch
Jupyter Notebook
2
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37

FaceScore

C++
2
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38

CACTU

Python
2
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39

Network3

Python
1
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40

MetaLab

Universal Meta Learning Library, with PyTorch GPU Acceleration.
Python
1
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41

TRPO-Pytorch

Python
1
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42

memoryGAN-Pytorch

Repository for ICLR 2018 paper: memoryGAN
1
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43

Network2

Python
1
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44

DLUtils

Useful Utils code for deep learning development
Python
1
star