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

Simple API for UCI Machine Learning Dataset Repository (search, download, analyze)

Materials for GWU DNSC 6279 and DNSC 6290.

Data analysis library for JavaScript built with Ramda

A convention over configuration workflow orchestrator. Develop locally (Jupyter or your favorite editor), deploy to Airflow or Kubernetes.

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

CardIO is a library for data science research of heart signals

A command line tool to easily add an ethics checklist to your data science projects.

Keras# initiated as an effort to port the Keras deep learning library to C#, supporting both TensorFlow and CNTK

Tools for loading standard data sets in machine learning

Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

Aspect Based Sentiment Analysis using End-to-End Memory Networks

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Word Embeddings for Information Retrieval

End-to-end training of sparse deep neural networks with little-to-no performance loss.

A High-Quality Real Time Upscaler for Anime Video

Implementation based on the paper Li et al., “A Convolutional Neural Network Cascade for Face Detection, ” 2015 CVPR

Interactive Go programming with Jupyter

Python package for creating beautiful interactive Chord Diagrams. Pro version available at https://m8.fyi/chord

A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.

This is a tutorial for PyTorch Geometric on the YooChoose dataset

PCA that iteratively replaces missing data

A PyTorch Library for Accelerating 3D Deep Learning Research

A neural network for end-to-end music source separation

The data journalism platform with built in training

Full Stack Data Science in Python

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

Japanese Riichi Mahjong AI agent. (Feel free to extend this agent or develop your own agent)

An awesome list of events and fellowship opportunities for Computer Science students

A pure Python implementation of Apache Spark's RDD and DStream interfaces.

Neural Networks that invent their own encryption 🔑

SuperComputing 2017 Deep Learning Tutorial

A platform for analysis & development of machine learning models using large de-identified healthcare datasets.

Koalas: pandas API on Apache Spark

This is Andrew NG Coursera Handwritten Notes.

A library for prototyping realtime hand detection (bounding box), directly in the browser.

Self-study plan to achieve mastery in data science

Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

A curated list of awesome machine learning interpretability resources.

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

Just another DL library

Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction

Machine learning metrics for distributed, scalable PyTorch applications.

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

A repository of state-of-the-art deep learning methods in computer vision

Java dataframe and visualization library

A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting (GBDT, GBRT, GBM), Random Forest and Adaboost w/categorical features support for Python

A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels for supervised learning.

Deep Learning for Seismic Imaging and Interpretation

A curated list of awesome machine learning frameworks, libraries, courses, books and many more.

✨Fast Coreference Resolution in spaCy with Neural Networks

An intuitive library to add plotting functionality to scikit-learn objects.

An intuitive library to extract features from time series

Web scrapping and related analytics using Python tools

Categorical Query Language IDE

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

Accelerate Neural Net Training by Progressively Freezing Layers

Deep learning codes and projects using Python

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®