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A Python implementation of Deep Belief Networks built upon NumPy and TensorFlow with scikit-learn compatibility
Repo for the Deep Learning Nanodegree Foundations program.
Hands-on, practical knowledge of how to use neural networks and deep learning with Keras 2.0
Program assignments for the Deep Learning Specialization at Coursera by Andrew Ng
Set up deep learning environment in a single command line.
Django, React, Bootstrap 4 with Python 3 and webpack project boilerplate
Deep Learning Short Course.
Open source hardware and software platform to build a small scale self driving car.
ELKI Data Mining Toolkit
Visualizations for machine learning datasets
Repository for a data science starter app using Flask, Angular and Docker. https://medium.com/@dvelsner/deploying-a-simple-machine-learning-model-in-a-modern-web-application-flask-angular-docker-a657db075280
A simple Flask boilerplate app with SQLAlchemy, Redis, User Authentication, and more.
Creating a Machine Learning API using Flask - Repository for AV Article
GINO Is Not ORM - a Python asyncio ORM on SQLAlchemy core.
Open Source Fast Scalable Machine Learning Platform For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), ...)
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Website that classifies comments for toxicity in real time
The Hitchhiker's Guide to Data Science for Social Good
Individual household electric-power consumption Data Set (LSTM) [tutorial]
A curated list of applied machine learning and data science notebooks and libraries across different industries.
JupyterLab computational environment.
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Deep Learning for humans
Docker-based latex compilation
Extends AWS Lex with Google API and Rekognition.
Simple streaming interface to zlib for Lua.
Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
Building and Embedding Machine Learning Model into a Web App(With Flask,etc)
Python code for common Machine Learning Algorithms
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.