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

Curso de Data Science em Português

Data augmentation for NLP

Collection of Artificial Intelligence projects.

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

Create HTML profiling reports from pandas DataFrame objects

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

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Collection of useful data science topics along with code and articles

Efficient Learning of Augmentation Policy Schedules

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.

Application of machine learning to the Coinbase (GDAX) orderbook

This is a tutorial for PyTorch Geometric on the YooChoose dataset

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.

Best Practices on Recommendation Systems

The Go kernel for Jupyter notebooks and nteract.

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).

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

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

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

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

Support content for my blog

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

All my experiments with AI and ML

Time Series Forecasting Best Practices & Examples

VIP cheatsheets for Stanford's CS 221 Artificial Intelligence

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.

The Cutest Deep Learning Framework which is also a wonderful Declarative Language

Library to scrape and clean web pages to create massive datasets.

A curated list of artificial intelligence resources (Courses, Tools, App, Open Source Project)

Notebook for my medium article about how to use Dataset API in TensorFlow

Continual Learning tutorials and demo running on Google Colaboratory.

Log Anomaly Detection - Machine learning to detect abnormal events logs

Human-explainable AI.

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

Shōgun

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

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

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A simple from-scratch neural net written in Go

Deep learning codes and projects using Python

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

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

Text Classification through CNN, RNN & HAN using Keras

Code for my medium article

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

Curated list of Python resources for data science.

Coding exercises for the Natural Language Processing concentration, part of Udacity's AIND program.

🍳 Recipes for the Prodigy, our fully scriptable annotation tool

ENet - A Neural Net Architecture for real time Semantic Segmentation

Gender recognition by voice and speech analysis

a delightful machine learning tool that allows you to train, test, and use models without writing code