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Study of HeXA@UNIST in Preparation for Submission
Deep Neuroevolution
Pytorch implementation of deep person re-identification approaches.
Code for the paper Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge (EMNLP 2016). http://arxiv.org/abs/1608.03000
Using deep actor-critic model to learn best strategies in pair trading
A list of papers and resources dedicated to deep reinforcement learning
TensorFlow implementation of Deep Reinforcement Learning papers
Algorithmic trading with deep learning experiments
Experiments in generating code using deep learning methods. My master's thesis
Deep Learning Resources and Tutorials using Keras and Lasagne
Series Algorithms of Deep Reinforcement Learning, such as DQN, DDQN, one-step-DQN, DDPG, etc
Neural networks for conditional density estimation
Deep-learning models for Drug Discovery and Quantum Chemistry
neural networks to learn Koopman eigenfunctions
Summaries and notes on Deep Learning research papers
Timeseries Forecasting via Recurrent Neural Nets [Keras + Theano]
Attempt to replicate: A deep learning framework for financial time series using stacked autoencoders and long- short term memory
MIT Deep Learning Book in PDF format
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
Implementation of some deep learning models
Train a deep learning net with OpenStreetMap features and satellite imagery.
Highly modularized implementation of popular deep RL algorithms by PyTorch
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
Speech Recognition using DeepSpeech2 and the CTC activation function. Edit
DeepTeach - the Interactive Deep Image Classifier Builder
Keras implementation of the Deep Temporal Clustering (DTC) model
terrain-adaptive locomotion skills using deep reinforcement learning
A Keras-based library for analysis of time series data using deep learning algorithms.
Analyze videos & images, perform detections, index frames & detected objects, search by examples.
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.