7002 Open source projects that are alternatives of or similar to Deep Learning Book

Code for Machine Learning for Algorithmic Trading, 2nd edition.

This is a tutorial for PyTorch Geometric on the YooChoose dataset

Support content for my blog

Using A.I. and computer vision to build a virtual personal fitness trainer. (Most Startup-Viable Hack - HackNYU2018)

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

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

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

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

The Go kernel for Jupyter notebooks and nteract.

Efficient Learning of Augmentation Policy Schedules

Curso de Data Science em Português

Data augmentation for NLP

Collection of useful data science topics along with code and articles

Collection of Artificial Intelligence projects.

Best Practices on Recommendation Systems

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Cryptocurrency Price Prediction Using LSTM neural network

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

Create HTML profiling reports from pandas DataFrame objects

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

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.

A day to day plan for this challenge. Covers both theoritical and practical aspects

Web scrapping and related analytics using Python tools

Kotlin API for Lets-Plot - an open-source plotting library for statistical data.

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

A hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning models.

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

Datasets, tools and more from Darwinex Labs - Prop Investing Arm & Quant Team @ Darwinex

Extensive and accessible COVID-19 data + forecasting for counties and hospitals. 📈

This is Andrew NG Coursera Handwritten Notes.

Log Anomaly Detection - Machine learning to detect abnormal events logs

Interactive Go programming with Jupyter

Visualizer for pandas data structures

Resources for the study group in IIT Guwahati focused on learning Artificial Intelligence.

Continual Learning tutorials and demo running on Google Colaboratory.

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

A simple from-scratch neural net written in Go

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

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

Deep learning codes and projects using Python

A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.

⚾🤖⚾ Automatic baseball pitching overlay in realtime

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

Library for Semi-Automated Data Science

Aulas da Escola de Inteligência Artificial de São Paulo

My personal notes, presentations, and notebooks on everything Deep Learning.

Tutorial: Web scraping in Python with Beautiful Soup

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

An easy to use blogging platform, with enhanced support for Jupyter Notebooks.

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

Source code and data analyses for the Sci-Hub Coverage Study

A fast and lightweight AutoML library.

CARTO Python package for data scientists

Code for my medium article

Coronavirus COVID-19 (2019-nCoV) Data Repository and Dashboard for South Africa

SuperComputing 2017 Deep Learning Tutorial

CardIO is a library for data science research of heart signals

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

Materials for GWU DNSC 6279 and DNSC 6290.