Klipper streamlined input shaper workflow and calibration tools

Data Science Practice: This GitHub repository contains a collection of projects and exercises for practicing data science skills, including data cleaning, exploratory data analysis, machine learning, and visualization. Each project includes datasets, code, and detailed explanations to help users enhance their data science proficiency

Framework to generate AI Agent implemented in python or SystemC giving the user the flexibility in defining the parameters based on the training model using proper dataset or based on application need.

Signal Processing Fun (in the sun)

L1VM - a tiny virtual machine with a 64 bit core

Machine learning is a field of artificial intelligence focused on developing algorithms and models that enable computers to learn from data and make predictions or decisions without being explicitly programmed. It encompasses various techniques such as supervised learning, unsupervised learning, and reinforcement learning.

💻☁📦 The Nextcloud VM (virtual machine appliance), Home/SME Server and scripts for RPi (4). Community developed and maintained.

This repo contains content related to newly introduced first ever proposed AI complexity theoretical framework "Cognitive Turing Machine"

This machine learning model can detect sign language in real time. The model was trained using the Teachable Machine platform by Google.

A Java Virtual Machine and Bytecode-to-IL Converter for .NET

This project involves fine-tuning a BERT model for detecting 10-digit numbers in video frames. Using PyTorch and Hugging Face's Transformers, the model is trained on labeled text data and real-time pattern detection.

📘 The MLOps stack component for experiment tracking

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A set of notebook tutorials for RSGISLib.

glowbuzzer React

A machine charm that provides a single integration point in the machine world with the Kubernetes-based COS bundle.

Weather Machine Solo Helper

Library to help implement a complex-valued neural network (cvnn) using tensorflow as back-end

Retrieval Augmented Generative Engine

This project focuses on the prediction of lung cancer using multiple machine learning models and comparing their performances. The dataset used for this project consists of various features related to lung cancer, which were preprocessed, normalized, and then used for training different classifiers.