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MBATS is a docker based platform for developing, testing and deploying Algorthmic Trading strategies with a focus on Machine Learning based algorithms.
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Foundations of Machine Learning Course Materials.
Codes related to various ML Hackathons
A concise resource repository for machine learning
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
ML Deployment, Two Ways
Tutorial on Deploy Machine Learning Models with Django from https://www.deploymachinelearning.com/
Source code accompanying O'Reilly book: Machine Learning Design Patterns
FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)
Machine Learning Foundations: Algebra, Calculus, Statistics & Computer Science
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
Machine learning course at MIPT
Using Kafka-Python to illustrate a ML production pipeline
ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python
📋 Survey papers summarizing advances in machine learning.
Experiments for the "Machine Learning on data with sPlot background subtraction" paper
A repository to index and organize the latest machine learning courses found on YouTube.
The code from the Machine Learning Bookcamp book
MLeap: Deploy Spark Pipelines to Production
MlFinlab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
Open source platform for the machine learning lifecycle
MLflow samples - deprecated
MLFlow Spark Summit 2019 Presentation
End to End example integrating MLFlow and Seldon Core
Tools for MLflow
Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this three part series, we will cover MLflow Tracking, Projects, Models, and Model Registry.
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.