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Name: Christian D. Blakely, Ph.D.
Type: User
Bio: Building sparse neural structures for fast machine learning
Location: Zurich, Switzerland
Name: Christian D. Blakely, Ph.D.
Type: User
Bio: Building sparse neural structures for fast machine learning
Location: Zurich, Switzerland
Realtime enhanced learning in automata machines
The Blakely-Brugger quantitative sparse predictive hierarchy method for microfossil learning and extraction
A recurrent neural network designed to generate classical music.
A scientific charting library focused on performance optimised real-time data visualisation at 25 Hz update rates for data sets with a few 10 thousand up to 5 million data points.
CL Algorithm for Learning Bayesian Network Structures
Simple Limit Orderbook interface with matching engine
A fast, interactive, graphical-user-interface oriented software suite for predictive modeling, multivariate time series analysis, real-time signal extraction, Bayesian financial econometrics, and much more.
A pure JavaFX app for building, implementing, analyzing, testing, and exporting a real-time signal extraction pipeline for large multivariate time series
📊 Exposing charts from Java to JavaFX and the Web!
A pure GPU implementation of generalized deep neural networks
cuda implementation of the multivariate direct filter approach (MDFA) for real-time signal extraction on very big time-series data sets
A java library for deep learning in multilateration
A realtime version of jfugue 5.0.9 for music composition
A Recurrent neural network using the multivariate direct filter approach to learn and forecast signals in nonstationary (multi/uni)variate time series.
A Java ND4J implementation for solving Gridworld using Reinforcement learning
A blockchain implementation in Java for SigEx transactions
Deep learning in large multivariate time series using real-time feature extraction with MDFA
A JAVA package for real-time signal extraction in large multivariate time series
JavaScript implementation of the multivariate direct filter approach (MDFA) for real-time signal extraction
Microprice estimator for pretrade data
Models built with TensorFlow
Open Source Computer Vision Library
A workbench for building market making strategies using Tsetlin Machines and Reinforcement Learning
Simple Bollinger daily trading system on EURUSD using AlgoTrader
A real-time sparse distributed learning and prediction model for aircraft sensors
A Java recurrent NN library featuring RWA and GMU cells for time-series analysis.
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.