Samples and Tools for Windows ML.
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Updated
May 28, 2024 - C++
Samples and Tools for Windows ML.
🔀 Neural Network (NN) Streamer, Stream Processing Paradigm for Neural Network Apps/Devices.
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
The convertor/conversion of deep learning models for different deep learning frameworks/softwares.
A project on Optical Image Tracking covering Optical Flow, Dense Optical Flow, MeanShift Technique, CamShift Technique, Single Object Tracking and Multi Object Tracking.
Detectron is Facebook AI Research’s (FAIR) software system that implements state-of-the-art object detection algorithms, including Mask R-CNN. It is written in Python and powered by the Caffe2 deep learning framework. Detectron model is meant to advance object detection by offering speedy training and addressing the issues companies face when ma…
Caffe2 is a lightweight, modular, and scalable deep learning framework.
Setup and customize deep learning environment in seconds.
Deep Learning Benchmarking Suite
A set of helper tools to assit with gathering and sorting data for machine learning.
Complete Machine Learning Docker Environment including Jupyter, PyTorch, TensorFlow, Theano, Keras, Caffe with more
A simple human recognition api for re-ID usage, power by paper https://arxiv.org/abs/1703.07737
Python library to easily log experiments and parallelize hyperparameter search for neural networks
Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS
Age and Gender estimation using Caffe2 pretrained LAP Challenge models
High-performance framework for machine learning algorithm
Code to convert keras model to caffe2 model
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