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

Research Framework for easy and efficient training of GANs based on Pytorch

Train an RL agent to localize actively (PyTorch)

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

A repo with tutorials for algorithms from scratch

All DeepLearning4j projects go here.

This book serves as an introduction to a whole new way of thinking systematically about geographic data, using geographical analysis and computation to unlock new insights hidden within data.

Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')

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

Discover relevant information about categorical data with entity embeddings using Neural Networks (powered by Keras)

Data augmentation for NLP

A visualisation tool for the creation and analysis of graphs

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

A collaboratively written review paper on deep learning, genomics, and precision medicine

Python Cheat Sheet NumPy, Matplotlib

RSparkling: Use H2O Sparkling Water from R (Spark + R + Machine Learning)

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

Research code need not be ugly.

IPython widgets, interactive plots, interactive machine learning

Word2Vec models with Twitter data using Spark. Blog:

Neural Networks that invent their own encryption 🔑

Wrap existing D code for use in Python, Excel, C#

Helps you write algorithms in PyTorch that adapt to the available (CUDA) memory

Parser and database to index the terpene profile of different strains of Cannabis from online databases

SuperComputing 2017 Deep Learning Tutorial

Materials for the "AI on Kubernetes" tutorial at O'Reilly AI SF 2018

Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.

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

Self-organizing maps in Go

A blog for data analytics using data science technologies

The hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior in the future month according to the purchase history and user information in the Santander dataset.

Koalas: pandas API on Apache Spark

Carefully curated resource links for data science in one place

Python Adaptive Signal Processing

VerticaPy is a Python library that exposes sci-kit like functionality to conduct data science projects on data stored in Vertica, thus taking advantage Vertica’s speed and built-in analytics and machine learning capabilities.

This is Andrew NG Coursera Handwritten Notes.

Self driving cars using NEAT

This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.

OpenRefine is a free, open source power tool for working with messy data and improving it

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

⛈️ Rumble 1.11.0 "Banyan Tree"🌳 for Apache Spark | Run queries on your large-scale, messy JSON-like data (JSON, text, CSV, Parquet, ROOT, AVRO, SVM...) | No install required (just a jar to download) | Declarative Machine Learning and more

Pytorch implementation of Block Neural Autoregressive Flow

Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH

Self-study plan to achieve mastery in data science

Augmenting word embeddings with their surrounding context using bidirectional RNN

The Accelerator is a tool for fast and reproducible processing of large amounts of data.

Visualisations for Convolutional Neural Networks in Pytorch

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

MemeGen is a web application where the user gives an image as input and our tool generates a meme at one click for the user.

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

Python Data Science and Machine Learning Library for the Ethereum and ERC-20 Blockchain

A curated list of awesome machine learning interpretability resources.

A Python package for building Bayesian models with TensorFlow or PyTorch

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

Automated Data Science and Machine Learning library to optimize workflow.

Una introduccion al analisis de datos con R y R Studio

Machine Learning (Beginners Hub), information(courses, books, cheat sheets, live sessions) related to machine learning, data science and python is available

Contains the online course about Data Science, Machine Learning, Programming Language, Operating System, Mechanial Engineering, Mathematics and Robotics provided by Coursera, Udacity, Linkedin Learning, Udemy and edX.

KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.

PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course

Tool for reading and writing datasets of tensors in a Lightning Memory-Mapped Database (LMDB). Designed to manage machine learning datasets with fast reading speeds.