An example of using OpenCV dnn module with YOLOv5. (ObjectDetection, Segmentation, Classification)
Обновлено 2024-11-11 20:00:01 +03:00
A flexible and efficient deep neural network (DNN) compiler that generates high-performance executable from a DNN model description.
Обновлено 2024-09-19 09:31:52 +03:00
A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.
machine-learning
python
deep-learning
pytorch
neural-architecture-search
deep-neural-networks
edge-computing
latency
inference
edge-ai
efficient-model
onnx-models
tensorflow-models
Обновлено 2024-07-31 00:16:53 +03:00
Experience, Learn and Code the latest breakthrough innovations with Microsoft AI
csharp
javascript
computer-vision
iot
bot
ai
object-detection
azure-functions
algorithms
dnn
luis
image-classification
bing-search
custom-vision
html5
language-learning
ocr
translation
Обновлено 2024-06-26 22:42:37 +03:00
NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego
deep-learning
pytorch
natural-language-processing
artificial-intelligence
dnn
question-answering
model-compression
text-classification
knowledge-distillation
text-matching
qna
sequence-labeling
Обновлено 2023-07-22 06:07:54 +03:00
Multi-Task Deep Neural Networks for Natural Language Understanding
Обновлено 2023-06-13 00:28:35 +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
LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks
Обновлено 2022-08-30 11:00:20 +03:00
Walkthrough demonstrating how trained DNNs (CNTK and TensorFlow) can be applied to massive image sets in ADLS using PySpark on Azure HDInsight clusters
Обновлено 2017-09-06 22:46:02 +03:00
Framework for generating adversarial examples using formal methods and for analyzing robustness of DNNs.
Обновлено 2017-07-22 00:18:50 +03:00