7608 Open source projects that are alternatives of or similar to Yabox

📘 The interactive computing suite for you! ✨

Support content for my blog

Feature exploration for supervised learning

Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath

All course materials for the Zero to Mastery Machine Learning and Data Science course.

Quiz & Assignment of Coursera

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

The Hitchhiker's Guide to Data Science for Social Good

Completed assignments and coding challenges from the Lambda School Data Science program.

Modern Data Science

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

Templates for jupyter notebooks

Create HTML profiling reports from pandas DataFrame objects

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

Python pour Statistique et Science des Données -- Syntaxe, Trafic de Données, Graphes, Programmation, Apprentissage

Google Colaboratory Notebooks and Repositories (by @firmai)

Python training for business analysts and traders

Dockerfile of Jupyter (IPython notebook) and IOCaml (OCaml kernel) with libraries for data science and machine learning

A collection of notebooks of my Machine Learning class written in python 3

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

My solution to the book A Collection of Data Science Take-Home Challenges

Python Helper library for Jupyter Notebooks

Best Practices, code samples, and documentation for Computer Vision.

🚚 Agile Data Preparation Workflows made easy with dask, cudf, dask_cudf and pyspark

Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge

Koç University deep learning framework.

There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.

I will update this repository to learn Machine learning with python with statistics content and materials

Temporary home for fastai v2 while it's being developed

A collection of personal data science projects

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

Course materials for Dartmouth Course: Storytelling with Data (PSYC 81.09).

Implementation of Reinforcement Learning algorithms in Python, based on Sutton's & Barto's Book (Ed. 2)

Exercises for hierarchical clustering with Python 3 and scipy as Jupyter Notebooks

Material for the EPFL master course "A Network Tour of Data Science", edition 2017.

ETL with Python - Taught at DWH course 2017 (TAU)

MRI analysis using PyTorch and MedicalTorch

Allstate Kaggle Competition ML Capstone Project

📢 Ready to learn or review your knowledge!

MLBox is a powerful Automated Machine Learning python library.

Solved problems and assignments of DSA course taught by Coding Ninjas team

A site that displays up to date COVID-19 stats, powered by fastpages.

🤖⚡️ scikit-learn tips

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

Maze Applied Reinforcement Learning Framework

Malware Data Science Reading Diary / Notes

A collection of code examples as well as presentations for training purposes

R package to interface with OpenML

This repository contains the source code used to produce the results presented in the paper "Machine learning method for state preparation and gate synthesis on photonic quantum computers".

GitHub Action for repo2docker

Road to Machine Learning

A Machine Learning API with native redis caching and export + import using S3. Analyze entire datasets using an API for building, training, testing, analyzing, extracting, importing, and archiving. This repository can run from a docker container or from the repository.

A community run, 5-day PyTorch Deep Learning Bootcamp

A jupyter notebook that provides analysis for StarCraft 2 replays

Tutorials and training material for the H2O Machine Learning Platform

PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course

Data science and Machine Learning GUI programs/ desktop apps with PySimpleGUI package

A repo with tutorials for algorithms from scratch

Open-source implementation of Google Vizier for hyper parameters tuning