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deep-belief-network

A Python implementation of Deep Belief Networks built upon NumPy and TensorFlow with scikit-learn compatibility

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

deep-learning-in-python

Hands-on, practical knowledge of how to use neural networks and deep learning with Keras 2.0

deep-learning-with-deeplearning.ai

Program assignments for the Deep Learning Specialization at Coursera by Andrew Ng

deepo

Set up deep learning environment in a single command line.

django-react-boilerplate

Django, React, Bootstrap 4 with Python 3 and webpack project boilerplate

dlsc

Deep Learning Short Course.

donkeycar

Open source hardware and software platform to build a small scale self driving car.

elki

ELKI Data Mining Toolkit

excellexbot

facets

Visualizations for machine learning datasets

flask-angular-data-science

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

flask-base

A simple Flask boilerplate app with SQLAlchemy, Redis, User Authentication, and more.

flask_api

Creating a Machine Learning API using Flask - Repository for AV Article

gino

GINO Is Not ORM - a Python asyncio ORM on SQLAlchemy core.

h2o-3

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), ...)

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

harassment-classifier-app

Website that classifies comments for toxicity in real time

hitchhikers-guide

The Hitchhiker's Guide to Data Science for Social Good

individual-household-electric-power-consumption-data-set-

Individual household electric-power consumption Data Set (LSTM) [tutorial]

industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries.

jupyterlab

JupyterLab computational environment.

kalman-and-bayesian-filters-in-python

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.

keras

Deep Learning for humans

latex-docker

Docker-based latex compilation

lexinterceptor

Extends AWS Lex with Google API and Rekognition.

lua-zlib

Simple streaming interface to zlib for Lua.

luigi

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.

machine-learning-web-apps

Building and Embedding Machine Learning Model into a Web App(With Flask,etc)

machine-learning-with-python

Python code for common Machine Learning Algorithms