An Open Source Machine Learning Framework for Everyone
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Updated
Jun 12, 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
A series of Numerical Simulation examples using various MonteCarlo techniques like Metropolis, Genetic Algos, Simulated Annealing etc.
Open standard for machine learning interoperability
Official implementation of "CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer".
Godpeny Github Page :)
API for Soil Image Analysis with Deep Learning
Deep Learning with PyTorch
Skripsi Prediksi Harga Saham Menggunakan Deep Learning LSTM oleh Gesang Paudra Jaya
Project developed for the Numeric Simulation Laboratory A.A. 2023-2024, held by professor Davide Emilio Galli at the University of Milan, Physics Department.
A framework to compute threshold sensitivity of deep networks to visual stimuli.
A flexible, high-performance serving system for machine learning models
A Great Collection of Deep Learning Tutorials and Repositories
Deep understanding of Artificial intelligence
This repository contains implementation of how we can build AI Agents from scratch and assign specific tasks to them.
A broad, easy and fast framework for machine/deep learning in Go.
Neural network for RNA secondary structure prediction developed as part of master's thesis in Bioinformatics.
Face Recognition based Attendance Management System with a Flask web application and Power BI attendance dashboard.
machine learning and deep learning tutorials, articles and other resources
Mobile app for medical solutions: Skin Cancer - store, analise, predict, remind for update. Blood Work - analise, question with LLM, insight, reminder for update
functions to estimate the Conditional Average Treatment Effects (CATE) and Population Average Treatment Effects on the Treated (PATT)