1231 Open source projects that are alternatives of or similar to Keras

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

[tutorial]A functional, Data Science focused introduction to Python

LAMA - automatic model creation framework

🟣 Object detection of abstract shapes with neural networks

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

LATEX: TikZ package for drawing neural networks. Also available on CTAN at http://www.ctan.org/tex-archive/graphics/pgf/contrib/neuralnetwork

♾️ CML - Continuous Machine Learning | CI/CD for ML

Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.

Awesome machine learning model compression research papers, tools, and learning material.

Tutorial: Web scraping in Python with Beautiful Soup

Federated Messaging with ZeroMQ

OpenDS4All project, hosted by LF AI & Data

Library for Semi-Automated Data Science

A toil-free multi-tenancy machine learning platform in your Kubernetes cluster

💥 Fast matrix-multiplication as a self-contained Python library – no system dependencies!

R client for the Elasticsearch HTTP API

Ergonomic machine learning for everyone.

The author's officially unofficial PyTorch BigGAN implementation.

🍊 📊 💡 Orange: Interactive data analysis

Accelerate Neural Net Training by Progressively Freezing Layers

A single / multi layer / recurrent neural network written in Golang.

This repo contains logstash of various honeypots

This is a tutorial for PyTorch Geometric on the YooChoose dataset

📚 Notebook storage and publishing workflows for the masses

Full Stack Data Science in Python

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

Deep Learning for Seismic Imaging and Interpretation

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

Categorical Query Language IDE

Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

Deep learning codes and projects using Python

Open solution to the Data Science Bowl 2018

Code repository for Frontiers article 'Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images - A Comparison of CycleGAN and UNIT'

GitHub actions for R and accompanying R package

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

Golang RServe client. Use R from Go

Plotly Graphing Library for MATLAB®

Gradient based Hyperparameter Tuning library in PyTorch

🌍 A curated list of APIs, open data and ML/AI projects on climate change

Scalable Implementation of Deep CFR and Single Deep CFR

Avalanche: a End-to-End Library for Continual Learning.

Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.

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

[NO MAINTENANCE INTENDED] A PyTorch implementation of CapsNet architecture in the NIPS 2017 paper "Dynamic Routing Between Capsules".

A package that makes it trivial to create and evaluate machine learning pipeline architectures.

A desktop application for viewing and analyzing tabular data

A sign language interpreter using live video feed from the camera.

Graphing communities on Twitch.tv in a visually intuitive way

DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

The fastai book, published as Jupyter Notebooks

Topic Modelling for Humans

A utility library around PyTorch

The code repository for projects and tutorials in R and Python that covers a variety of topics in data visualization, statistics sports analytics and general application of probability theory.

📖 每一个伟大的思想和行动都有一个微不足道的开始

VIP cheatsheets for Stanford's CS 229 Machine Learning

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

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

Frame-Recurrent Video Super-Resolution (official repository)