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An Open Source Machine Learning Framework for Everyone
The new Windows Terminal and the original Windows console host, all in the same place!
A library for efficient similarity search and clustering of dense vectors.
Notepad++ official repository
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive lea…
Facebook AI Research's Automatic Speech Recognition Toolkit
header only, dependency-free deep learning framework in C++14
A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search sc…
Written in C++ and using SDL, The Powder Toy is a desktop version of the classic 'falling sand' physics sandbox, it simulates air pressure and velocity as well as heat.
Deep Learning API and Server in C++14 support for PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
Tutorial code on how to build your own Deep Learning System in 2k Lines
Parallel t-SNE implementation with Python and Torch wrappers.
ThunderSVM: A Fast SVM Library on GPUs and CPUs
Necessary material to build and use Zooids to create Swarm User Interfaces
Collective communications library with various primitives for multi-machine training.
This is a bunch of code to port Keras neural network model into pure C++.
cmix is a lossless data compression program aimed at optimizing compression ratio at the cost of high CPU/memory usage.
Fast exact nearest neighbor search in Hamming distance on binary codes with Multi-index hashing
Run fully connected artificial neural networks with dropout applied (mini)batchwise, rather than samplewise. Given two hidden layers each subject to 50% dropout, the corresponding matrix multiplica…
A quasirandom or low discrepancy sequence, such as the Faure, Halton, Hammersley, Niederreiter or Sobol sequences