Classifying images of Dogs by Breed
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Updated
Jun 13, 2024 - HTML
Keras is an open source, cross platform, and user friendly neural network library written in Python. It is capable of running on top of TensorFlow, Microsoft Cognitive Toolkit, R, Theano, and PlaidML.
Classifying images of Dogs by Breed
Visualizer for neural network, deep learning and machine learning models
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
An ASL detection script utilizing a TensorFlow image classification model trained from scratch. It is tailored to recognize American Sign Language (ASL) alphabet letters from live video streams, and provides documentation covering the neural network architecture, installation, dataset details, training procedures, and real-time detection.
Project developed for the Numeric Simulation Laboratory A.A. 2023-2024, held by professor Davide Emilio Galli at the University of Milan, Physics Department.
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
Deep Learning Courses
Open standard for machine learning interoperability
Repo explaining basic ways to use ONNX with different frameworks
Graph neural networks for molecular machine learning. Implemented and compatible with TensorFlow and Keras.
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
scripts used for neural decoding of single and multi unit auditory cortex data
EBOP Model Automatic input Value Estimation Neural network
Example ML projects that use the Determined library.
Welcome to the Framework for Mining Arguments repository! This project aims to provide a comprehensive framework for mining arguments from textual data.
obtaining applying skills on Machine Learning & Deep Learning + sth else
🌟 This repository houses a collection of image classification models for various purposes, including vehicle, object, animal, and flower classification. Each classifier is built using deep learning techniques and pre-trained models to accurately identify and categorize images based on their respective classes.
A machine learning model to recognize handwritten numbers using TensorFlow. Trained and tested on the famous MNIST dataset.
This repository contains my code for training and runnning a machine learning model, for classifying images of the American Sign Language (ASL) alphabet. The model was architected and trained using a Google's TensorFlow library.
Machine learning application for facial key-points detection
Created by François Chollet
Released March 27, 2015