ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Обновлено 2024-11-20 05:08:56 +03:00
NPM package for TensorFlow.js models exported from Custom Vision Service
Обновлено 2024-09-27 01:18:26 +03:00
Fork of TensorFlow accelerated by DirectML
Обновлено 2024-09-25 17:34:10 +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.
Обновлено 2024-09-04 00:17:43 +03:00
A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.
Обновлено 2024-07-31 00:16:53 +03:00
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Обновлено 2024-07-03 13:54:08 +03:00
ML model compiler for Cortex-M4F
Обновлено 2024-05-27 23:04:20 +03:00
The object detection solution accelerator provides a pre-packaged solution to train, deploy and monitor custom object detection models using the TensorFlow object detection API within Azure ML.
Обновлено 2024-01-24 22:16:23 +03:00
Workshop for student hackathons focused on Lobe.ai
Обновлено 2024-01-09 08:40:23 +03:00
TensorFlow 2 library implementing Graph Neural Networks
Обновлено 2023-07-13 16:47:00 +03:00
This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
Обновлено 2023-07-07 00:42:22 +03:00
Samples for getting started with deep learning across TensorFlow, CNTK, Theano and more.
Обновлено 2023-06-27 16:03:51 +03:00
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
Обновлено 2023-06-13 00:30:31 +03:00
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
Обновлено 2023-06-13 00:30:31 +03:00
This project created to analyze, compare and identify whale tails from the Kaggle competition dataset, "Humpback Whale Identification Challenge". It is written in Python, and uses the Keras API with Tensorflow backend. The project implemented both a Siamese Network and a SoftMax classifier with center loss.
Обновлено 2023-06-12 22:29:42 +03:00
Rock, Paper, Scissors, Lizard, Spock - Sample Application
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
TensorFlow implementations of Graph Neural Networks
Обновлено 2022-11-28 22:09:39 +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.
Обновлено 2022-07-26 04:18:01 +03:00
An Open Source Machine Learning Framework for Everyone
Обновлено 2022-07-18 16:43:55 +03:00
Node.js library for TensorFlow.js models exported from Custom Vision Service
Обновлено 2021-12-16 11:52:24 +03:00
Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.
Обновлено 2021-12-07 00:10:56 +03:00
Computation using data flow graphs for scalable machine learning
Обновлено 2021-01-21 03:25:54 +03:00