Free course that takes you from zero to Reinforcement Learning PRO 🦸

Phishing URL Detection with Deep Learning

Estimating Copula Entropy and Transfer Entropy in Python

Code for the paper 'Variable Selection with Copula Entropy' published on Chinese Journal of Applied Probability and Statistics

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

wLogger 是一款集合 日志采集,日志解析持久化存储，web流量实时监控 。三位一体的web服务流量监控应用。 三大功能模块均可独立部署启用互不干扰。目前已内置 nginx 和 apache 的日志解析存储器，简单配置一下，开箱即用。

Do Leetcode exercises in IDE, support leetcode.com and leetcode-cn.com, to meet the basic needs of doing exercises.Support theoretically: IntelliJ IDEA PhpStorm WebStorm PyCharm RubyMine AppCode CL…

DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG

My blogs and code for machine learning. http://cnblogs.com/pinard

A library for transfer learning by reusing parts of TensorFlow models.

Models and examples built with TensorFlow

KDD 2021: Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding

scikit-learn compatible implementation of stability selection.

Keras documentation, hosted live at keras.io

A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.

Learning Convolutional Neural Networks with Interactive Visualization.

Applications based on Wi-Fi CSI (Channel state information), such as indoor positioning, human detection

A project for processing neural networks and rendering to gain insights on the architecture and parameters of a model through a decluttered representation.

Feature selector is a tool for dimensionality reduction of machine learning datasets

《计算机网络－自顶向下方法(原书第6版)》编程作业，Wireshark实验文档的翻译和解答。

Speech recognition module for Python, supporting several engines and APIs, online and offline.

LightGBM 中文文档

Detects anomalous resting heart rate from smartwatch data.

算法理论基础知识应知应会

Keras community contributions

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier