Stars
An Open Source Machine Learning Framework for Everyone
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
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
Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
Unsupervised text tokenizer for Neural Network-based text generation.
Fit interpretable models. Explain blackbox machine learning.
Facebook AI Research's Automatic Speech Recognition Toolkit
Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
🐸STT - The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.
C++ Implementation of PyTorch Tutorials for Everyone
Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling
LIBLINEAR -- A Library for Large Linear Classification
an open-source implementation of sequence-to-sequence based speech processing engine
Fast implementation of the edit distance(Levenshtein distance)
Code repository for our paper DiffCloth: Differentiable Cloth Simulation with Dry Frictional Contact
Complete solutions for exercises and MATLAB example codes for "Machine Learning: A Probabilistic Perspective" 1/e by K. Murphy
it's a small library for running trained Keras 2 models from a native C++ code.
Fast spectrogram phase recovery using Local Weighted Sums (C/Python/Matlab)