6992 Open source projects that are alternatives of or similar to Radio

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.

🛠 All-in-one web-based IDE specialized for machine learning and data science.

DLTK Model Zoo

Deep Learning Toolkit for Medical Image Analysis

Probabilistic reasoning and statistical analysis in TensorFlow

Support content for my blog

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

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

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.

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

Applying Data Science and Machine Learning to Solve Real World Business Problems

Koç University deep learning framework.

Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge

A simple probabilistic programming language.

Datasets, tools, and benchmarks for representation learning of code.

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

Tutorial Sessions for SciPy Con 2019

Principles and Techniques of Data Science, the textbook for Data 100 at UC Berkeley

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

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

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

🌎 machine learning tutorials (mainly in Python3)

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

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

Tools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)

Developer Cheatsheets

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

An easy-to-use interface for measuring uncertainty and robustness.

Julia port of the Python autograd package.

Tel-Aviv Deep Learning Boot-camp: 12 Applied Deep Learning Labs

Deep learning codes and projects using Python

A repo for data science related questions and answers

A New, Interactive Approach to Learning Python

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

Collection of Artificial Intelligence projects.

A Portfolio of my Data Science Projects

🐍 Learn Python and Pandas from the ground up

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

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

Content for architecting a data science platform for products using Luigi, Spark & Flask.

Home assignments for data science positions

🐳📊🤓Cookiecutter template to launch an awesome dockerized Data Science toolstack (incl. Jupyster, Superset, Postgres, Minio, AirFlow & API Star)

The fastai book, published as Jupyter Notebooks

Open solution to the Data Science Bowl 2018

An automatic ML model optimization tool.

Aulas da Escola de Inteligência Artificial de São Paulo

🟣 Object detection of abstract shapes with neural networks

Concise deep learning for JAX

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

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

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

Spying using Smartwatch and Deep Learning

Web scrapping and related analytics using Python tools

Anomaly detection for temporal data using LSTMs

数据科学竞赛知识、代码、思路

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

All about attention in neural networks. Soft attention, attention maps, local and global attention and multi-head attention.

This is a tutorial for PyTorch Geometric on the YooChoose dataset