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This is code for my CERN presentation
A red themed derivation of https://github.com/horst3180/arc-theme
A comprehensive list of Deep Learning, Machine Learning and Artificial Intelligence tutorials - originally created by Donne Martin and will be expanded in areas of AI/Deep Learning / Machine Vision and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until atleast 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
Asynchronous Methods for Deep Reinforcement Learning
Automated machine learning for analytics & production
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
efficient arrays of booleans for Python
The Boo Programming Language.
Built and trained a convolutional network for end-to-end driving in a simulator using Tensorflow and Keras
Starting files for the Udacity CarND Behavioral Cloning Project
Theano-based implementation of Deep Q-learning
neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support
Microsoft Distributed Machine Learning Toolkit
Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
Distributed Deep learning with Keras & Spark
ESP8266 deauther
Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.
Automatically exported from code.google.com/p/gmpy
The streaming build system
A toolkit for developing and comparing reinforcement learning algorithms.
This is the code for "How to Simulate a Self-Driving Car" by Siraj Raval on Youtube
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
Inception-v4, Inception - Resnet-v1 and v2 Architectures in Keras
Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.
Keras implementation of Google's inception-resnet-v2 Architecture
:bullettrain_side: Residual wrapper for Keras
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
Mandelbrot Explorer
Animation engine for explanatory math videos
Models built with TensorFlow
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.