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

ARCHIVED: Contains historical course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL

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.

A Tensorflow implementation of a Variational Autoencoder for the deep learning course at the University of Southern California (USC).

This is a jupyter practical tutorial. Welcome to edit together!

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

Griffon Data Science Virtual Machine

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.

Machine learning contest - October 2016 TLE

🐍💻📊 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)

YouTube Like Count Predictions using Machine Learning

brief introduction to Python for machine learning

Machine learning fundamentals lesson in interactive notebooks

The Raspberry Turk is a robot that can play chess—it's entirely open source, based on Raspberry Pi, and inspired by the 18th century chess playing machine, the Mechanical Turk.

This book serves as an introduction to a whole new way of thinking systematically about geographic data, using geographical analysis and computation to unlock new insights hidden within data.

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).

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

Data augmentation for NLP

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

A Unified Database of NYC transport (subway, taxi/Uber, and citibike) data.

A Portfolio of my Data Science Projects

Deep Learning Specialization courses by Andrew Ng, deeplearning.ai

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

A New, Interactive Approach to Learning Python

This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera

MicaSense RedEdge and Altum image processing tutorials

image processing codes to understand algorithm

Python library for identifying the peaks and valleys of a time series.

🐍 Learn Python and Pandas from the ground up

Aulas da Escola de Inteligência Artificial de São Paulo

Amacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.

👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋

Powerful financial charting library based on R's Quantmod | http://py-quantmod.readthedocs.io/en/latest/

Tutorials for the Astropy Project

Web scrapping and related analytics using Python tools

Machine Learning and Reinforcement Learning in Finance New York University Tandon School of Engineering

Coloring black and white images with deep learning.

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

Material for the tutorial: "Deep Diving into GANs: from theory to production"

quizzes/assignments for mathematics for machine learning specialization on coursera

Virgilio is developed and maintained by these awesome people. You can email us virgilio.datascience (at) gmail.com or join the Discord chat.

IPython widgets, interactive plots, interactive machine learning

RadIO is a library for data science research of computed tomography imaging

A collection of Jupyter Notebooks for learning Python for Data Science.

This is a tutorial for PyTorch Geometric on the YooChoose dataset

A fast and lightweight AutoML library.

A library for debugging/inspecting machine learning classifiers and explaining their predictions

A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn

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

ML.NET Workshop to predict car sales prices

DeepLearning.AI TensorFlow Developer Professional Certificate Specialization

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.

IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018

Deep Learning Specialization by Andrew Ng on Coursera.

吴恩达《深度学习》系列课程笔记及代码 | Notes in Chinese for Andrew Ng Deep Learning Course

Python tools for data analysis