An Open Source Machine Learning Framework for Everyone

On-device AI across mobile, embedded and edge for PyTorch

This repository contains an enhanced multi-modal hate detection in videos model, improving upon the HateMM framework by leveraging advanced deep learning techniques such as attention mechanisms and multi-modal fusion.

Brand new Audible Library Downloader

Persian AI is a free and Open Source Chatbot ai and Model Manager

Repository created to demonstrate how to create validations using decorators in NestJS. Decorators-based validations, allowing you to implement all the validations in your preferred way and in the most performance-efficient manner possible. All this, without using any external libraries.

🚀 Curated AI & ML Course Projects – A handpicked collection of experiments, tutorials, and real-world projects from various AI, ML, deep learning, and Hugging Face courses. Explore structured, hands-on learning in one central repository.

🚀 QIP-X Framework – Quantum-Integrated AI & Cryptography A cutting-edge framework integrating quantum-ascendant cryptography, timeline optimization, and hyper-chaotic neural networks for secure, adaptive, and multiversal intelligence systems.

This project utilizes (CNN) to accurately classify X-Ray images for pneumonia detection. It explores three different approaches to handle data imbalance and achieve optimal model performance. The project includes detailed evaluation metrics and use Streamlit which enables a seamless classification.

♟️ Optimized Chess RL Trainer using DQN vs Stockfish. Built with PyTorch and python-chess, it learns using per-move rewards from Stockfish evaluations. Implements Prioritized Experience Replay (PER) and parallel CPU/GPU execution for faster training. The agent dynamically adjusts Stockfish skill level based on performance.

Modifies a neural network's hyperparameters, activation functions, cost functions, and regularization methods to improve training performance and generalization.

This is a learning project for practice, using regression on the Auto MPG dataset to predict fuel efficiency. It involves building a Neural Network with RMSprop, MSE loss, data normalization, and early stopping to prevent overfitting. Key: normalize data, use MAE/MSE, optimize model.

Doge Family of Small Language Model

Alert Text Detector is an NLP-based model that detects alert messages from social media posts. It is built using BERTweet Base and trained on a dataset of 23,000 tweets (alert & non-alert). The model flags emergency-related messages and classifies tweets based on textual content.

↪️💳️↩️ A redirect to Licenses

A machine learning semester project of university, implementing classification and regression models to predict house prices & number of rooms using a dataset with over 160,000 entries.

Music recommendation system that leverages the power of machine learning to provide personalized music suggestions based on user preferences. Using a hybrid approach combining K-Means Clustering and Cosine Similarity.

special-potato is a unique software tool designed to enhance productivity and streamline workflows for developers. With its innovative features and intuitive interface, special-potato is a must-have for any coding project.

This repository contains a dataset of MRI images specifically curated for object detection and localization tasks related to brain tumor identification in medical imaging. The dataset includes annotations for tumor regions to facilitate the development and evaluation of machine learning algorithms for automated tumor detection in MRI scans.

Boilerplate code for deep learning projects with PyTorch Lightning