Beast code in Giters

A deep learning method for event driven stock market prediction. Deep learning is useful for event-driven stock price movement prediction by proposing a novel neural tensor network for learning event embedding, and using a deep convolutional neural network to model the combined influence of long-term events and short-term events on stock price movements

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vae-celebA

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Neural-Network-with-Financial-Time-Series-Data

This solution presents an accessible, non-trivial example of machine learning (Deep learning) with financial time series using TensorFlow

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MobileNet

MobileNet build with Tensorflow

Language:PythonApache-2.0000

leela-zero

Go engine with no human-provided knowledge, modeled after the AlphaGo Zero paper.

Language:C++GPL-3.0000

value-prediction-network

NIPS 2017 Value Prediction Network

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awesome-rl

Reinforcement learning resources curated

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pysc2

StarCraft II Learning Environment

Language:PythonApache-2.0000

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

Language:PythonMIT000

mapgen2

Map generator for games. Generates island maps with a focus on mountains, rivers, coastlines.

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dstl_unet

Dstl Satellite Imagery Feature Detection

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gym

A toolkit for developing and comparing reinforcement learning algorithms.

Language:PythonNOASSERTION000

RocAlphaGo

An independent, student-led replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search" (Nature 529, 484-489, 28 Jan 2016), details of which can be found on their website https://deepmind.com/publications.html.

Language:PythonMIT000

end-to-end-deep-learning

Autonomous driving simulation in the Unity engine.

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