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 2024-09-16 01:31:55 +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
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
machine-learning
deep-learning
data-science
python
tensorflow
mlops
pytorch
hyperparameter-optimization
hyperparameter-tuning
machine-learning-algorithms
model-compression
nas
neural-architecture-search
neural-network
automated-machine-learning
automl
bayesian-optimization
deep-neural-network
distributed
feature-engineering
Обновлено 2024-07-03 13:54:08 +03:00
Resource scheduling and cluster management for AI
machine-learning
tensorflow
ai
jupyter
pytorch
artificial-intelligence
model-training
kubernetes
gpu-scheduler
on-premise
resource-management
scheduling
chainer
cloud
cluster-management
cluster-manager
gpu
gpu-cluster
gpu-computing
Обновлено 2024-06-06 10:56:06 +03:00
Samples and Tools for Windows ML.
machine-learning
deep-learning
windows
pytorch
ai
ml
tensorflow
scikit-learn
neural-network
onnx
keras
coreml
caffe2
winmltools
Обновлено 2024-05-28 23:28:15 +03:00
ML model compiler for Cortex-M4F
Обновлено 2024-05-27 23:04:20 +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
Scenarios, tutorials and demos for Autonomous Driving
microsoft
deep-learning
simulation
tensorflow
robotics
tutorial
autonomous-vehicles
airsim
self-driving-car
autonomous-driving
autonomous-driving-cookbook
car
cntk
keras
microsoft-garage
Обновлено 2023-06-12 22:32:09 +03:00
General-Purpose Kubernetes Pod Controller
kubernetes
tensorflow
go
containers
kubernetes-controller
container-management
container-orchestration
frameworklauncher
Обновлено 2023-04-04 04:34:08 +03:00
Rock, Paper, Scissors, Lizard, Spock - Sample Application
azure
javascript
python
java
nodejs
dotnet-core
tensorflow
php
blazor
aspnetcore
azure-functions
azure-kubernetes-service
Обновлено 2023-01-27 21:01:49 +03:00
Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set (CVPRW 2019)
Обновлено 2022-11-28 22:10:22 +03:00
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
Обновлено 2022-09-23 02:59:07 +03:00
A highly extensible software stack to empower everyone to build practical real-world live video analytics applications for object detection and counting with cutting edge machine learning algorithms.
azure
docker
dotnet-core
tensorflow
object-detection
gpu
counting
edge-computing
video-analytics
yolov3
Обновлено 2022-07-26 04:18:01 +03:00
Datasets, tools, and benchmarks for representation learning of code.
machine-learning
deep-learning
data-science
ml
python
tensorflow
neural-networks
open-data
datasets
cnn
machine-learning-on-source-code
natural-language-processing
nlp
nlp-machine-learning
bert
programming-language-theory
representation-learning
rnn
self-attention
data
Обновлено 2022-01-31 12:25:07 +03:00
👩🔬 Train and Serve TensorFlow Models at Scale with Kubernetes and Kubeflow on Azure
machine-learning
docker
kubernetes
tensorflow
jupyter-notebook
distributed-tensorflow
jupyterhub
kubeflow
tensorflow-serving
Обновлено 2020-11-13 20:49:23 +03:00
Lightweight tool that generates Go structures and Tensorflow inference execution code from SavedModel
Обновлено 2020-04-27 20:53:21 +03:00
Distributed Deep Learning using AzureML
Обновлено 2019-11-19 05:28:26 +03:00
Tutorial on how to deploy Deep Learning models on GPU enabled Kubernetes cluster
Обновлено 2019-02-01 22:04:55 +03:00