haohaohaohaohaohaozhang's repositories
svise
Accompanying code for "State Estimation of a Physical System without Governing Equations"
graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
STGCN_IJCAI-18
Spatio-Temporal Graph Convolutional Networks
SPTAG
A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search scenario.
GNNPapers
Must-read papers on graph neural networks (GNN)
PRML
PRML algorithms implemented in Python
AnomalyDetectionTransformations
A simple and effective method for single-class classification of images
spinningup
Spinning Up in Deep RL
60_Days_RL_Challenge
Learn Deep Reinforcement Learning in depth in 60 days
MissingImputer
use knn, randomforest, xgboost, lightgbm to fill missing values
feature-selector
Feature selector is a tool for dimensionality reduction of machine learning datasets
rl_learn
我的强化学习笔记和学习材料:book: still updating ... ...
keras-mdn-layer
An MDN Layer for Keras using TensorFlow's distributions module
Interview-Notebook
:calendar: 准备秋招学习笔记
zhihu
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.
Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
deeplearning_ai_books
deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)
jupyter
Jupyter metapackage for installation, docs and chat
seriesnet
Time series prediction using dilated causal convolutional neural nets (temporal CNN)
WorldModels
An implementation of the ideas from this paper https://arxiv.org/pdf/1803.10122.pdf
transferlearning-tutorial
《迁移学习简明手册》
ML-Tutorial-Experiment
Coding the Machine Learning Tutorial for Learning to Learn
Deep-Learning-21-Examples
《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码
pytorch_notebooks
tutorial notebooks
TCN
Sequence modeling benchmarks and temporal convolutional networks
edward
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
VisualDL
A platform to visualize the deep learning process.