23 open source projects by IntelLabs

A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks

Caffe for Sparse Convolutional Neural Network

A fuzzer for full VM kernel/driver targets

Parallelizing word2vec in shared and distributed memory

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

Recurrent Neural Network Language Modeling (RNNLM) Toolkit

High Performance Analytics Toolkit (HPAT) is a Julia-based framework for big data analytics on clusters.

sparse matrix pre-processing library

A high-performance DSL for deep neural networks in Julia

Haskell Research Compiler

An API for data parallelism in JavaScript

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

The ParallelAccelerator package, part of the High Performance Scripting project at Intel Labs

A system to flag anomalous source code expressions by learning typical expressions from training data

Object Sensing and Cognition for Adversarial Robustness

VDMS: Your Favourite Visual Data Management System

The CompilerTools package, part of the High Performance Scripting project at Intel Labs

Intel Labs open source repository for time series anomaly detection evaluator

A library for researching neural networks compression and acceleration methods.

A collection of example workloads for Parallel JavaScript

Productive and portable performance programming across spatial architectures (FPGAs, etc.) and vector architectures (GPUs, etc.)

Intel Heterogeneous Research Compiler (iHRC)

Pillar compiler, Pillar runtime, garbage collector.