7417 Open source projects that are alternatives of or similar to Awesome Google Colab

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

Support content for my blog

An introduction to network analysis and applied graph theory using Python and NetworkX

深度学习笔记

An ongoing list of pandas quirks

The AI Application Platform We All Need. Human AND Machine Intelligence. Based on experience building AI solutions at Panasonic: robotics predictive maintenance, cold-chain energy optimization, Gigafactory battery mfg, avionics, automotive cybersecurity, and more.

A free tutorial for Apache Spark.

GitHub Action for repo2docker

A community run, 5-day PyTorch Deep Learning Bootcamp

Using python and scikit-learn to make stock predictions

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.

Learn Julia via interactive tutorials!

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.

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

100+ python programming exercise problem discussed ,explained and solved in different ways

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

The Hitchhiker's Guide to Data Science for Social Good

DLTK Model Zoo

A repo with tutorials for algorithms from scratch

Course materials and handouts for #100DaysOfCode in Python course

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

Koç University deep learning framework.

📚 机器学习基石和机器学习技法作业

R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks

Welcome everyone!🌟 Here you can solve problems, build scrappers and much more💻

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

This repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their career. It includes all the types of plot offered by Seaborn, applied on random datasets.

repo for code published on pythondata.com

General Assembly's 2015 Data Science course in Washington, DC

Completed assignment jupyter notebook of Foundations of Convolutional Neural Networks, deeplearning.ai coursera course

A Python library for easy data analysis, visualization, exploration and modeling

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

Practice your pandas skills!

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

Achieve your marketing goals with the data analytics power of Python

Artificial Learning, Intelligent Machines

🐍💻📊 All material from the PyCon.DE 2018 Talk "Beyond Jupyter Notebooks - Building your own data science platform with Python & Docker" (incl. Slides, Video, Udemy MOOC & other References)

Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

Templates for jupyter notebooks

Introduction to Data Science

Data augmentation for NLP

Machine learning fundamentals lesson in interactive notebooks

MicaSense RedEdge and Altum image processing tutorials

Developer Cheatsheets

Google2Csv a simple google scraper that saves the results on a csv/xlsx/jsonl file

IPython widgets, interactive plots, interactive machine learning

Anomaly detection tutorial on univariate time series with an auto-encoder

Scraping statistics, predicting NBA player performance with neural networks and boosting algorithms, and optimising lineups for Draft Kings with genetic algorithm. Capstone Project for Machine Learning Engineer Nanodegree by Udacity.

Training a Neural Network to Detect Gestures and Control Smart Home Devices with OpenCV in Python

The "Python Machine Learning (1st edition)" book code repository and info resource

Coloring black and white images with deep learning.

The "Python Machine Learning (2nd edition)" book code repository and info resource

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

R package to interface with OpenML

google it automation with python professional certificate

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.