Awesome Deep Learning
A curated list of awesome Deep Learning tutorials, projects and communities.
Keywords Extraction from Wikipedia by using TFIDF score
Bayesian Modelling in Python
A python tutorial on bayesian modeling techniques (PyMC3)
Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information.
A server application used for tagging large batches of images for training-set generation.
Reinforcement Learning Coach enables easy experimentation with state of the art Reinforcement Learning algorithms
Dilated Recurrent Neural Networks
Tensorflow implementation of Dilated Recurrent Neural Networks (DilatedRNN).
MX Mask R-CNN
A MXNet implementation of Mask R-CNN
SfMLearner Pytorch version
Pytorch version of Unsupervised Learning of Depth and Ego-Motion from Video
Streaming operations on NumPy arrays
A parser for annotating text with frame semantic annotations. It is trained on an annotated corpus using Tensorflow and Dragnn.
Natural Language Understanding Library for Apache Spark with simple, performant & accurate NLP annotations for machine learning pipelines, that scale easily in a distributed environment.
An adversarial example library for constructing attacks, building defenses, and benchmarking both
Openpose from CMU implemented using Tensorflow with Custom Architecture for fast inference.
PlaidML is a multi-language acceleration framework for making deep learning work everywhere.
Apache Rya (incubating)
A scalable RDF Store that is built on top of a Columnar Index Store (such as Accumulo). It is implemented as an extension to OpenRdf to provide easy query mechanisms (SPARQL, SERQL, etc) and Rdf data storage (RDF/XML, NTriples, etc).