ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
machine-learning
deep-learning
pytorch
tensorflow
neural-networks
scikit-learn
ai-framework
hardware-acceleration
onnx
Обновлено 2024-12-04 05:21:29 +03:00
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
machine-learning
microsoft
python
distributed
data-mining
decision-trees
gbdt
gbm
gbrt
gradient-boosting
kaggle
lightgbm
parallel
r
Обновлено 2024-12-04 05:05:31 +03:00
A framework for building native macOS apps with React.
Обновлено 2024-12-04 02:53:09 +03:00
DirectML is a high-performance, hardware-accelerated DirectX 12 library for machine learning. DirectML provides GPU acceleration for common machine learning tasks across a broad range of supported hardware and drivers, including all DirectX 12-capable GPUs from vendors such as AMD, Intel, NVIDIA, and Qualcomm.
Обновлено 2024-11-22 01:22:36 +03:00
Examples for using ONNX Runtime for machine learning inferencing.
Обновлено 2024-11-05 01:51:35 +03:00
glTF-SDK is a C++ Software Development Kit for glTF (GL Transmission Format -https://github.com/KhronosGroup/glTF).
Обновлено 2024-10-09 20:22:11 +03:00
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.
machine-learning
deep-learning
tensorflow
neural-networks
embedded
speech-recognition
deepspeech
offline
on-device
speech-to-text
Обновлено 2024-09-04 00:17:43 +03:00
A lightning fast Finite State machine and REgular expression manipulation library.
Обновлено 2023-10-24 21:56:42 +03:00
Interactive Neural Machine Translation-lite (INMT-lite) is a framework to train and develop lite versions (.tflite) of models for neural machine translation (NMT) that can be run on embedded devices like mobile phones and tablets that have low computation power and space. The tflite models generated can be used to build the offline version of INMT mobile, a mobile version of INMT web.
Обновлено 2023-10-20 12:21:26 +03:00
A conformant OpenGL ES implementation for Windows, Mac and Linux.
Обновлено 2023-10-09 06:41:59 +03:00
Enclave ready EVM (eEVM) is an open-source, standalone, embeddable, C++ implementation of the Ethereum Virtual Machine.
Обновлено 2023-07-10 16:19:39 +03:00
This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
microsoft
machine-learning
deep-learning
cpp
pytorch
tensorflow
machine-learning-algorithms
edge-computing
iot-device
protonn
resource-constrained-ml
sensor
bonsai
classifier
edge-devices
edge-machine-learning
emi-rnn
fastgrnn
fastrnn
microsoft-research
Обновлено 2023-07-07 00:42:22 +03:00
Linux Agent for System Center Virtual Machine Manager
Обновлено 2023-06-27 16:09:36 +03:00
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
machine-learning
python
deep-learning
java
c-sharp
c-plus-plus
distributed
cntk
deep-neural-networks
neural-network
cognitive-toolkit
Обновлено 2022-09-23 17:06:50 +03:00
Utilities for Linux virtual machines running on Azure
Обновлено 2022-09-13 19:44:44 +03:00
An Open Source Machine Learning Framework for Everyone
Обновлено 2022-07-18 16:43:55 +03:00
Computation using data flow graphs for scalable machine learning
Обновлено 2021-01-21 03:25:54 +03:00
A library for collecting features and performing inference of machine learning evaluations based on those features, useful especially in situations where the feature publishing software components are strongly decoupled from the software components that wish to exploit those features in machine learning models.
Обновлено 2020-11-17 23:53:12 +03:00
Marian (Neural Machine) Translation Service
Обновлено 2020-06-29 16:04:08 +03:00
Fast Neural Machine Translation in C++ - development repository
Обновлено 2020-06-25 17:17:18 +03:00
A library of cross-platform, cross-framework, cross-programming language featurizers (operations in a data processing pipeline) that can be used during Machine Learning training and prediction activities.
Обновлено 2020-04-27 18:58:11 +03:00
Fast Neural Machine Translation in C++
Обновлено 2020-03-10 21:34:07 +03:00
Parameter server framework for distributed machine learning
Обновлено 2018-06-12 23:31:21 +03:00