An Open Source Machine Learning Framework for Everyone
-
Updated
May 23, 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
The YOLOv8 Object Detection Setup allows users to perform real-time object detection using the YOLOv8 algorithm. The project is designed for simplicity and convenience, enabling users to run their models seamlessly and obtain output videos with detected objects.
oneAPI Deep Neural Network Library (oneDNN)
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
Deep Mutation Module enhances DNN testing and reliability.
Fine-tuned YOLOv8 model for detecting food in realtime via media (image, video, IP camera - RTSP).
Voicegain Enterprise Speech-to-Text Platform (API, Portal, etc.)
Open standard for machine learning interoperability
Scalable and user friendly neural 🧠 forecasting algorithms.
This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.
A grid-like environment (multi-agent system) used by an intelligent agent (or more than one agent) in order for it/them to carry the orbs to the pits in a limited number of movements.
A project focusing on binary classification using Explainable Artificial Intelligence (XAI) methods, specifically SHAP (SHapley Additive exPlanations), and Grid Search for hyperparameter tuning. The project utilizes EfficientNetV2-B0 architecture on the Cat VS Dog dataset.
i-Melt is a machine learning model of the properties of aluminosilicate melts and glasses
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.
A Machine Learning framework from scratch in Pure Mojo 🔥
Godpeny Github Page :)
A flexible, high-performance serving system for machine learning models
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
Beginner Friendly CheatCodes
This are the Machine Learning notes by leading AI website named Deeplearning.AI. This notes will help you to be a machine learner from beginner to advanced level. Welcome Everyone!!