An Open Source Machine Learning Framework for Everyone

Face Recognition based Attendance Management System with a Flask web application and Power BI attendance dashboard.

Neural network for RNA secondary structure prediction developed as part of master's thesis in Bioinformatics.

machine learning and deep learning tutorials, articles and other resources

Mobile app for medical solutions: Skin Cancer - store, analise, predict, remind for update. Blood Work - analise, question with LLM, insight, reminder for update

functions to estimate the Conditional Average Treatment Effects (CATE) and Population Average Treatment Effects on the Treated (PATT)

Fine-tuned YOLOv8 model for detecting food in realtime via media (image, video, IP camera - RTSP).

AI with Python

This repository contains raw implementation of the Segment Anything Model released by this Paper: Segment Anything, by a team at Meta (FAIR). This repo is the sequel to the ViT Repo, with further addition of module as per the paper.

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

A curated list of research in machine learning systems (MLSys). Paper notes are also provided.

This repository contains implementation of how we can build AI Agents from scratch and assign specific tasks to them.

Machine learning and deep learning tutorials, articles and other resources. With repository stars⭐ and forks🍴

This project uses PyTorch to classify bone fractures. As well as fine-tuning some famous CNN architectures (like VGG 19, MobileNetV3, RegNet,...), we designed our own architecture. Additionally, we used Transformer architectures (such as Vision Transformer and Swin Transformer). This dataset is Bone Fracture Multi-Region X-ray, available on Kaggle.

StreamingFlow: Streaming Occupancy Forecasting with Asynchronous Multi-modal Data Streams via Neural Ordinary Differential Equation

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

oneAPI Deep Neural Network Library (oneDNN)

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.

Scalable and user friendly neural 🧠 forecasting algorithms.

AIMET GitHub pages documentation