An Open Source Machine Learning Framework for Everyone
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Updated
May 29, 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 flexible, high-performance serving system for machine learning models
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.
This course covers the applied side of algorithmics in machine learning and deep learning, focusing on hands-on coding experience in Python.
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.
[ICCV 2019 Oral] TA3N: https://github.com/cmhungsteve/TA3N (Most updated repo)
A DIY C++ CNN framework
Voicegain Enterprise Speech-to-Text Platform (API, Portal, etc.)
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.
All my projects related to AI - Basic Ml Models To Deep Learning Projects All At One Place
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.
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Fine-tuned YOLOv8 model for detecting food in realtime via media (image, video, IP camera - RTSP).
MATLAB code of Feedforward Deep Neural Network (FDNN) for Battery State of Charge (SOC) Estimation in Battery Electric Vehicle (BEV)
Fast inference engine for Transformer models
TinyNeuralNetwork is an efficient and easy-to-use deep learning model compression framework.
Vaani, a repository dedicated to a significant project, serves as a platform for predicting and converting nonverbal sign language into text.
oneAPI Deep Neural Network Library (oneDNN)
This repo contains evaluation code for the paper "MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI"