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Name: Andrew
Type: User
Bio: Applied mathematics and machine learning Research and Software Engineer with focus on deep reinforcement learning and quantitative finance domain.
Location: Moscow
Name: Andrew
Type: User
Bio: Applied mathematics and machine learning Research and Software Engineer with focus on deep reinforcement learning and quantitative finance domain.
Location: Moscow
Efficient Batched Reinforcement Learning in TensorFlow
Proof of concept Cointegration-Based spread trading strategy applied to the Foreign Exchange market
High performance datastore for time series and tick data
An implementation of the Augmented Random Search algorithm
Replicating "Asynchronous Methods for Deep Reinforcement Learning" (http://arxiv.org/abs/1602.01783)
Tensorflow + Keras + OpenAI Gym implementation of 1-step Q Learning from "Asynchronous Methods for Deep Reinforcement Learning"
Asynchronous Methods for Deep Reinforcement Learning
A curated list of awesome resources for Apache Beam
A curated list of awesome pipeline toolkits inspired by Awesome Sysadmin
Quant/Algorithm trading resources with an emphasis on Machine Learning
Reinforcement learning resources curated
a curated list of awesome streaming frameworks, applications, etc
This curated list contains python packages for time series analysis
Python Backtesting library for trading strategies
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction
Scalable, event-driven, deep-learning-friendly backtesting library
CapsLayer: An advanced library for capsule theory
Singular Spectrum Analysis methods implementation in Python
A low-latency prediction-serving system
Cloud ML Engine is now a part of AI Platform
Repository for the CWL standards. Use https://www.biostars.org/t/cwl/ for support 😊
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
crypto currency spread trading tests
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
A TensorFlow implementation of the Differentiable Neural Computer.
Deconfounding Reinforcement Learning in Observational Settings
Gradient based hyperparameter optimization package for 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.