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Asynchronous Methods for Deep Reinforcement Learning
A curated list of awesome lists
A complete list of papers on anomaly detection.
The most cited deep learning papers
TensorFlow - A curated list of dedicated resources http://tensorflow.org
An introduction series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
Sample scripts for the Bosch Small Traffic Lights Dataset
:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling
ROS-based code to control a real Self-Driving Car. Final project in Udacity's Self-Driving Car Engineer Nanodegree.
ROS-based code to control a real self-driving car. Final project for "Wolf Pack" team in Udacity's Self-Driving Car Engineer Nanodegree.
Learn deep learning with CIFAR datasets
An open source book that describes a large number of algorithmic techniques from the the fields of Biologically Inspired Computation, Computational Intelligence and Metaheuristics in a complete, consistent, and centralized manner such that they are accessible, usable, and understandable.
Using Keras and Deep Deterministic Policy Gradient to play TORCS
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
My Exploration on Deep Reinforcement Learning Survey
Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.
terrain-adaptive locomotion skills using deep reinforcement learning
DenseNet implementation in Keras
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
实时获取新浪 / 腾讯 的免费股票行情 / 集思路的分级基金行情
Config files for my GitHub profile.
Implemention of FCN-8 and FCN-16 with Keras and uses CRF as post processing
Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018
Celery integration for Flask (SINCE CELERY 3.0 THIS IS NO LONGER NEEDED)
Simple machine learning library / 簡單易用的機器學習套件
Python module to get real-time stock data from Google Finance API
Implementation of Google's Inception + ResNet v2 architecture in Keras
A curated list of applied machine learning and data science notebooks and libraries accross different industries.
:smiley_cat: Pretty&simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app using Flask in 10 minutes.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.