Pinned Repositories
60_Days_RL_Challenge
Learn Deep Reinforcement Learning in depth in 60 days
AnomalyDetectionTransformations
A simple and effective method for single-class classification of images
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
blog
caffe-lstm
LSTM implementation on Caffe
kaggle-advanced-regression-algos
Exploratory Data Analysis, Dealing with Missing Values, Data Munging, Ensembled Regression Model using Stacked Regressor, XGBoost and microsoft Lightxgb
keras-mdn
Implementation of mixture density network layer and objective function in Keras
MLSTM-FCN
Multivariate LSTM Fully Convolutional Networks for Time Series Classification
haohaohaohaohaohaozhang's Repositories
haohaohaohaohaohaozhang/MLSTM-FCN
Multivariate LSTM Fully Convolutional Networks for Time Series Classification
haohaohaohaohaohaozhang/60_Days_RL_Challenge
Learn Deep Reinforcement Learning in depth in 60 days
haohaohaohaohaohaozhang/AnomalyDetectionTransformations
A simple and effective method for single-class classification of images
haohaohaohaohaohaozhang/Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
haohaohaohaohaohaozhang/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
haohaohaohaohaohaozhang/deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
haohaohaohaohaohaozhang/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
haohaohaohaohaohaozhang/edward
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
haohaohaohaohaohaozhang/feature-selector
Feature selector is a tool for dimensionality reduction of machine learning datasets
haohaohaohaohaohaozhang/GNNPapers
Must-read papers on graph neural networks (GNN)
haohaohaohaohaohaozhang/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
haohaohaohaohaohaozhang/Interview-Notebook
:calendar: 准备秋招学习笔记
haohaohaohaohaohaozhang/jupyter
Jupyter metapackage for installation, docs and chat
haohaohaohaohaohaozhang/keras-mdn-layer
An MDN Layer for Keras using TensorFlow's distributions module
haohaohaohaohaohaozhang/MissingImputer
use knn, randomforest, xgboost, lightgbm to fill missing values
haohaohaohaohaohaozhang/ML-Tutorial-Experiment
Coding the Machine Learning Tutorial for Learning to Learn
haohaohaohaohaohaozhang/nntimeseries
haohaohaohaohaohaozhang/PRML
PRML algorithms implemented in Python
haohaohaohaohaohaozhang/pytorch_notebooks
tutorial notebooks
haohaohaohaohaohaozhang/rl_learn
我的强化学习笔记和学习材料:book: still updating ... ...
haohaohaohaohaohaozhang/seriesnet
Time series prediction using dilated causal convolutional neural nets (temporal CNN)
haohaohaohaohaohaozhang/spinningup
Spinning Up in Deep RL
haohaohaohaohaohaozhang/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.
haohaohaohaohaohaozhang/STGCN_IJCAI-18
Spatio-Temporal Graph Convolutional Networks
haohaohaohaohaohaozhang/svise
Accompanying code for "State Estimation of a Physical System without Governing Equations"
haohaohaohaohaohaozhang/TCN
Sequence modeling benchmarks and temporal convolutional networks
haohaohaohaohaohaozhang/transferlearning-tutorial
《迁移学习简明手册》
haohaohaohaohaohaozhang/VisualDL
A platform to visualize the deep learning process.
haohaohaohaohaohaozhang/WorldModels
An implementation of the ideas from this paper https://arxiv.org/pdf/1803.10122.pdf
haohaohaohaohaohaozhang/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.