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
Обновлено 2024-03-21 14:56:13 +03:00
Обновлено 2023-10-02 11:00:57 +03:00
Обновлено 2023-08-08 23:22:38 +03:00
Обновлено 2023-08-08 23:22:26 +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
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
Native implementation of a Keras-style API. Uses the Cognitive Toolking (CNTK) as backend.
Обновлено 2022-12-07 21:44:13 +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
Keras implementations of Generative Adversarial Networks.
Обновлено 2019-09-13 17:32:32 +03:00
Sample code showing how to perform distributed training of a Fizyr Keras-RetinaNet model on the COCO dataset using Horovod on Batch AI
Обновлено 2018-08-10 20:56:45 +03:00