Networks Libraries

118 Components & Libraries

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Networks Libraries

TypeDB-ML is the Machine Learning integrations library for TypeDB

You may find the following resources useful, particularly to understand why TypeDB-ML started: Python >= 3.7.x It's expected that you will use Pip to install, but should you need to make your own …

Code for training and test machine learning classifiers on MIT-BIH Arrhyhtmia database

The code contains the implementation of a method for the automatic classification of electrocardiograms (ECG) based on the combination of multiple Support Vector Machines (SVMs). The method relies on…

Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.

A framework and CLI tool to build, transform, and analyze datasets. Dataset reading, writing, conversion in any direction. Dataset building Dataset quality checking Dataset comparison Dataset statist…

Supervisely SDK for Python - convenient way to automate, customize and extend Supervisely Platform for your computer vision task

Every company wants to be sure that its current and future AI tasks are solvable. The main issue with most solutions on the market is that they build as products. It's a black box developing by some …

:evergreen_tree: Aimbot powered by real-time object detection with neural networks, GPU accelerated with Nvidia. Optimized for use with CS:GO.

Pine is an aimbot powered by real-time object detection with neural networks. This software can be tweaked to work smoothly in CS:GO, Fortnite, and Overwatch. Pine also has built-in support for Nvidi…

Machine Learning notebooks for refreshing concepts.

Helpful jupyter noteboks that I compiled while learning Machine Learning and Deep Learning from various sources on the Internet. Linear & Multiple Regression Logistic Regression Regularization

U-Net: Convolutional Networks for Biomedical Image Segmentation

Arm Machine Learning tutorials and examples

Deploy a quantized TensorFlowLite MobileNet V2 model on Android using the Arm NN SDK. Implement a neural style transfer on Android with Arm NN APIs. CMSIS project showing keyword spotting (KWS) and o…

Understanding emotions from audio files using neural networks and multiple datasets.

This project presents a deep learning classifier able to predict the emotions of a human speaker encoded in an audio file. The classifier is trained using 2 different datasets, RAVDESS and TESS, and …

:book: This guide is to help you understand the basics of the computerized image and develop computer vision projects with OpenCV. Includes Python, Java, JavaScript, C# and C++ examples.

Machine Learning (Beginners Hub), information(courses, books, cheat sheets, live sessions) related to machine learning, data science and python is available

Note: These Self prepared Interview Questions will be updated weekly.

Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, Large Language Models (LLMs), and Training Models.

Machine learning models for time series analysis

A collection of different Machine Learning models predicting the time series, concretely the market price for given the currency chart and target. Tested with python versions: 2.7.14, 3.6.0. By defau…

Machine Learning Environment - alpha version

Here is how it looks in action: Get VergeML via pip: Verify your installation by typing: Let's create a very simple image classifier which tells apart cats from dogs. First, we create a new project f…

The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.

SeaLion is designed to teach today's aspiring ml-engineers the popular machine learning concepts of today in a way that gives both intuition and ways of application. We do this through concise algori…

Machine Learning inference engine for Microcontrollers and Embedded devices

Machine learning for microcontroller and embedded systems. Train in Python, then do inference on any device with a C99 compiler. Embedded-friendly Inference Convenient Training Supporting libraries C…

MachineLearning-DeepLearning-Code-for-my-YouTube-Channel

The full collection of all codes for my Youtube Channel segregated as per topic.

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:

Neural networks toolbox focused on medical image analysis

A neural networks toolbox with a focus on medical image analysis in tensorflow/keras for now. If you use this code, please cite: If you are using any of the sparse/imputation functions, please cite:

Learning-Python-Physics-Informed-Machine-Learning-PINNs-DeepONets

Physics Informed Machine Learning Tutorials (Pytorch and Jax)

Hi, I’m Juan Diego Toscano. Thanks for stopping by. This repository will help you to get involved in the physics-informed machine learning world. In particular, it includes several step-by-step guide…

Blazingly fast, vectorised, parallel, and scalable temporal graph engine for Rust, Python and JavaScript

It supports time traveling, full-text search, multilayer modelling, and advanced analytics beyond simple querying like automatic risk detection, dynamic scoring, and temporal motifs. Raphtory is avai…

To classify video into various classes using keras library with tensorflow as back-end.

To classify videos into various classes using keras library with tensorflow as back-end. I have taken 5 classes from sports 1M dataset like unicycling, marshal arts, dog agility, jetsprint and clay p…

ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.

Extraction is a general term for methods of constructing combinations of the variables to get around these problems while still describing the data with sufficient accuracy Data visualization is the …

A standardized Python API with necessary preprocessing, machine learning and explainability tools to facilitate graph-analytics in computational pathology.

All the functionalities are grouped under a user-friendly API. To ensure proper installation, run unit tests as: Running tests on cpu can take up to 20mn. The output can be then visualized with: If y…

Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!

All of the Keras built in models are made available: This project has the following dependencies: The only thing you have to do to get started is set up the folders in the following structure:

Get started with Machine Learning with Python - An introduction with Python programming examples

There are two options. Note: On each of those options, you'll find: No installations needed. Note: On each notebook, click on "Open in Colab", in order to open it on Google Colab Worried about whethe…

An experimental Pytorch implementation of Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network

An experimental PyTorch implementation of Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network. Considering the popularity of PyTorch in academia, we hope this repo can h…

:rabbit: Python lib for remo - the app for annotations and images management in Computer Vision

Remo is a web-based application to organize, annotate and visualize Computer Vision datasets. Remo runs on Windows, Linux, Mac or directly in Google Colab Notebooks. It can also be served on a privat…

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