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Implementations from the free course Deep Reinforcement Learning with Tensorflow
Deep Learning Tutorial notes and code. See the wiki for more info.
TensorFlow Basic Tutorial Labs
Deep Learning for Natural Language Processing
Following Stanford's "NLP with Deep Learning" Course - JAN17
Modularized Implementation of Deep RL Algorithms in PyTorch
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
A TensorFlow implementation of Baidu's DeepSpeech architecture
A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body
Training Very Deep Neural Networks Without Skip-Connections
Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
Deep RL Algorithms implemented for UC Berkeley's CS 294-112: Deep Reinforcement Learning
Demo material for the EG16 tutorial on "Deep learning for 3D shape analysis"
Visualizations for machine learning datasets
The fastai deep learning library, plus lessons and and tutorials
Notes for Fastai Deep Learning Course
Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts
Facebook's extensions to torch/cunn.
Tutorial for finite Gaussian mixture models in ptyhon notebook
PyTorch and Tensorflow functional model definitions
Topic Modelling for Humans
A clear, concise, simple yet powerful and efficient API for deep learning.
A toolkit for developing and comparing reinforcement learning algorithms.
Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow
Hands-On Deep Learning Algorithms with Python, By Packt
Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Rethinking the Inception Architecture for Computer Vision
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.