An Open Source Machine Learning Framework for Everyone
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Updated
Jun 6, 2024 - C++
Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural networks are a type of deep learning, which is a type of machine learning. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing.
An Open Source Machine Learning Framework for Everyone
Solar radiation Prediction Cameroon
Fine-tuned YOLOv8 model for detecting food in realtime via media (image, video, IP camera - RTSP).
oneAPI Deep Neural Network Library (oneDNN)
Learn OpenCV : C++ and Python Examples
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
Review in Deep Learning for Polyp Detection and Classification in Colonoscopy (https://doi.org/10.1016/j.neucom.2020.02.123).
Minerva project includes the minerva package that aids in the fitting and testing of neural network models. Includes pre and post-processing of land cover data. Designed for use with torchgeo datasets.
Project developed for the Numeric Simulation Laboratory A.A. 2023-2024, held by professor Davide Emilio Galli at the University of Milan, Physics Department.
N2D2 is an open source CAD framework for Deep Neural Network simulation and full DNN-based applications building.
Projects on Neural Networks for Breast Cell Classification - Machine Learning (MEng), supervised by Prof. C. Sansone and Eng. M. Gravina(2024)
API for Soil Image Analysis with Deep Learning
A framework to compute threshold sensitivity of deep networks to visual stimuli.
Open standard for machine learning interoperability
Introduction to Neural Quantum States
带你从零实现一个高性能的深度学习推理库,支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step
Official PyTorch implementation of the CVPR 2024 paper: State Space Models for Event Cameras (Spotlight).
This toolkit is a curated collection of machine learning projects, resources, and utilities designed to assist both beginners and seasoned practitioners in their journey through the fascinating world of machine learning.
Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. This project provides researchers, developers, and engineers advanced quantization and compression tools for deploying state-of-the-art neural networks.
Mobile app for medical solutions: Skin Cancer - store, analise, predict, remind for update. Blood Work - analise, question with LLM, insight, reminder for update