Familiarize PyTorch with simple quizzes
Fast Neural Style Transfer
Demo of in-browser Fast Neural Style Transfer with Deeplearn.JS library
2x Image Resolution
Rescale images to two times the original size using Decision Tree models. Matches and improves on traditional rescaling methods such as bilinear resampling. Noticable improvements on percieved sharpness of the image.
The AI can paint on a sketch accroding to a given specific color style.
Unreal Engine plugin for TensorFlow. Enables training and implementing state of the art machine learning algorithms for your unreal projects.
Validation of local and remote data tables
A distributed messaging and streaming platform with low latency, high performance and reliability, trillion-level capacity and flexible scalability.
Apple Core ML Tools
Core ML community tools contains all supporting tools for CoreML model conversion and validation. This includes Scikit Learn, LIBSVM, Caffe, Keras and XGBoost.
An Extensive, End-To-End, Lightweight and Flexible Platform for Game Research
Visualization of NBA games from raw SportVU data logs
Semantic Segmentation using Fully Convolutional Neural Network.
Auto Sleep Scorer
An open-source sleep stage classification Python package
TensorFlow implementation of ENet, trained on the Cityscapes dataset.
Re-implement CycleGAN in Tensorlayer
State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.
A pyTorch implementation of the DeepMoji model
A Pytorch implementation of an NTM (Neural Turing Machine)
ShuffleNet implementation in TensorFlow
The goal of this library is to give the user the ability to efficiently train Deep Learning models in a homomorphically encrypted state without needing to be an expert in either
Scala Library for Unit-Testing Processing Topologies in Apache Kafka / Kafka Streams
A Golang library for text processing, including tokenization, part-of-speech tagging, and named-entity extraction.
Reinforcement Learning framework to facilitate development and use of scalable RL algorithms and applications
Go scientific library for scientific computations involving linear algebra, special functions, Bessel, fast Fourier transforms, geometry calculations, NURBS, numerical quadrature, polyhedra, 3D transfinite interpolation, random numbers, Mersenne twister, probability distributions, optimisation, graph, plotting, visualisation, tensors, eigenvalues, differential equations, and much more.
Apache CarbonData is an indexed columnar data format for fast analytics on big data platform, e.g.Apache Hadoop, Apache Spark, etc.
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