Implementation of Graph Convolutional Networks in TensorFlow
PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules
A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error < 0.4%.
Coloring B&W portraits with neural networks.
Example code from Learning Spark book
Stock inference engine using Spring XD, Apache Geode / GemFire and Spark ML Lib.
A MXNet implementation of Mask R-CNN
Distributed SQL query engine for big data
Kaggle Cats & Dogs Redux with Cortex and Resnet50
🍃 Using a Neural Network to choose a accessible font color based on a background color.
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Open Machine Intelligence Framework for Hackers. (GPU/CPU)
Microsoft Cognitive Toolkit (CNTK)
Apache Gora open source framework provides an in-memory data model and persistence for big data. Gora supports persisting to column stores, key value stores, document stores and RDBMSs, and analyzing the data with extensive Apache Hadoop MapReduce support
PipelineIO: End-to-End ML and AI Platform for Real-time Spark and Tensorflow Data Pipelines
A realtime distributed OLAP datastore
Siddhi CEP is a lightweight, easy-to-use Open Source Complex Event Processing Engine (CEP) under Apache Software License v20
Fast, flexible and easy to use probabilistic modelling in Python.
Sarama is a Go library for Apache Kafka 0.8, 0.9, and 0.10.
Torch7 -> CoreML
Recipes for using Python's pandas library
Let’s Big Data. Hue is an open source Web interface for analyzing data with Hadoop and Spark.
Unity Machine Learning Agents
A Scala API for Apache Beam and Google Cloud Dataflow
Module for automatic summarization of text documents and HTML pages.
A hardware-accelerated deep learning library for the web.
This tutorial gives readers a full understanding of seq2seq models and shows how to build a competitive seq2seq model from scratch.
The world's simplest facial recognition api for Python and the command line
Bare bones Python implementations of some of the foundational Machine Learning models and algorithms.
Collection of generative models in Tensorflow