jayvischeng
keep moving
http://git.oschina.net/designer357;http://blog.chinaunix.net/uid/29689451.html
Pinned Repositories
AE_ts
Auto encoder for time series
AI-Toolbox
A C++ framework for MDPs and POMDPs with Python bindings
AOPAS
A PyQt/Numpy/Pandas/Matplotlib Program!
awesome-machine-learning-on-source-code
Interesting links & research papers related to Machine Learning applied to source code
awesome-ml-for-cybersecurity
:octocat: Machine Learning for Cyber Security
IGBB
A bagging&boosting model with information gain to select features.
jayvischeng.github.io
Github Page
MSLSTM
A Multi_Scale LSTM Model.
python
Python学习
WebPy
A Python WebPy Example!
jayvischeng's Repositories
jayvischeng/jayvischeng.github.io
Github Page
jayvischeng/AI-Toolbox
A C++ framework for MDPs and POMDPs with Python bindings
jayvischeng/scikit-learn
scikit-learn: machine learning in Python
jayvischeng/slots
A multi-armed bandit library for Python
jayvischeng/supervised-reptile
Reptile on supervised meta-learning datasets
jayvischeng/tensorflow_poems
中文古诗自动作诗机器人，屌炸天，基于tensorflow1.10 api，正在积极维护升级中，快star，保持更新！
jayvischeng/Adv-ALSTM
Code for paper "Enhancing Stock Movement Prediction with Adversarial Training" IJCAI 2019
jayvischeng/awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
jayvischeng/awesome-network-embedding
A curated list of network embedding techniques.
jayvischeng/awesome-nlp
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
jayvischeng/awesome-tensorflow
TensorFlow - A curated list of dedicated resources http://tensorflow.org
jayvischeng/bit-rnn
Quantize weights and activations in Recurrent Neural Networks.
jayvischeng/bokeh
Interactive Web Plotting for Python
jayvischeng/ChannelNet
Implementation of the paper "Deep Learning-Based Channel Estimation"
jayvischeng/gym
A toolkit for developing and comparing reinforcement learning algorithms.
jayvischeng/iss-rnns
Sparse RNNs -- Learning Connections and Hidden Sizes (TensorFlow)
jayvischeng/K-Sparse-AutoEncoder
Sparse Auto Encoder and regular MNIST classification with mini batch's
jayvischeng/maml
Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
jayvischeng/models
Models and examples built with TensorFlow
jayvischeng/numpy-ml
Machine learning, in numpy
jayvischeng/Representation-Learning-on-Heterogeneous-Graph
Representation-Learning-on-Heterogeneous-Graph
jayvischeng/sinkhorn-policy-gradient.pytorch
Code accompanying the paper "Learning Permutations with Sinkhorn Policy Gradient"
jayvischeng/statsmodels
Statsmodels: statistical modeling and econometrics in Python
jayvischeng/Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
jayvischeng/tensorflow
Computation using data flow graphs for scalable machine learning
jayvischeng/tf-gnn-samples
TensorFlow implementations of Graph Neural Networks
jayvischeng/Theano
Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.
jayvischeng/TPA-LSTM
Temporal Pattern Attention for Multivariate Time Series Forecasting
jayvischeng/tsfresh
Automatic extraction of relevant features from time series:
jayvischeng/wavelet-neural-network
Wavelet Neural Network