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

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

🚀 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.

Library for Semi-Automated Data Science

Tutorial: Web scraping in Python with Beautiful Soup

Code for my medium article

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

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

A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain

food image to recipe with deep convolutional neural networks.

Quiz & Assignment of Coursera

💫 Industrial-strength Natural Language Processing (NLP) in Python

Medical Q&A with Deep Language Models

This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in …

Curso de Introducción a Machine Learning con Python

An intro to Python & programming for wanna-be data scientists

Ways of doing Data Science Engineering and Machine Learning in R and Python

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

This is a collection of all the code that can be found on my YouTube channel Sigma Coding.

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.

Official code repo for the O'Reilly Book - Practical Deep Learning for Cloud, Mobile & Edge

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

Automatic extraction of relevant features from time series:

An ongoing list of pandas quirks

📘 The interactive computing suite for you! ✨

Feature exploration for supervised learning

A fast and lightweight AutoML library.

📚 [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记

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

The Hitchhiker's Guide to Data Science for Social Good

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

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

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

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

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

Python tools for data analysis

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

Modern Data Science

Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"

PyMC3 educational resources

The blog post about Kubeflow, including all materials

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL [email protected]

Introduction to pandas Treehouse course

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

Human Activity Recognition (HAR) with Keras and CoreML

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

brief introduction to Python for machine learning

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

Particle Filter Implementations in Python and C++, with lecture notes and visualizations

Text Classification through CNN, RNN & HAN using Keras

SuperComputing 2017 Deep Learning Tutorial

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

Materials for GWU DNSC 6279 and DNSC 6290.

🤖 Python application responsible for Serenata de Amor's intelligence

H2O.ai Machine Learning Interpretability Resources

Yet another black-box optimization library for Python

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