Visualizing Gradient Descent with Momentum in Python

🚀 Financial Anomaly Detection with DeepSeek and Isolation Forest – A powerful, locally-run tool for detecting financial anomalies using Isolation Forest and DeepSeek LLM. Features AI-powered insights, interactive time-series visualization, and automated PDF audit reports. 🔍📊

This system utilizes Optical Character Recognition (OCR) extracts text, while computer vision techniques map document layout. Then, SIFT (Scale-Invariant Feature Transform) cleverly matches documents to pre-defined templates, even with variations. This intelligent matching helps identify potential fraud for further investigation.

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This project involves predicting which passengers survived the Spaceship Titanic disaster. Utilizing various machine learning techniques, I analyze data to develop and evaluate models, ultimately contributing to a competitive ranking on Kaggle.

A lightweight, foundational machine learning framework implemented in Python. Features a modular design with customizable layers and support for various activation functions, as well as popular machine learning algorithms. Ideal for educational purposes and rapid prototyping.

This is a project that predicts the outcome of a football match based on the model you chose, it gives the probability for draws, home and away wins

A face recognition based security system that allow you to open certain apps on your computer through face unlock. If someone tries to breach the security it send alert mail to the concerned person.

Control volume and brightness effortlessly with hand gestures. Our machine learning technology interprets your movements, letting you adjust settings with a simple wave or swipe. Say goodbye to remotes and hello to intuitive control.

This Python tool extracts and classifies keywords from source code files using a combination of machine learning and AST-based techniques.

The code detects text by creating a Convolution Neural Network to Classify digits from 0 to 9. The Training code is written from scratch and it trains about 10000 images of 10 different classes . Testing script can deduce the trained model data to use along with a webcam to detect Digits from 0 to 9.

A machine learning project for classifying news articles as fake or real based on the content of the articles. The project uses a dataset of news articles and their corresponding labels to train a model. The model then makes predictions on new, unseen news articles and classifies them as fake or real.

A modular, educational, and high-performance implementation of a Decoder-only Transformer.

Painting tool using OpenCV

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GPT-2 style symbolic piano generator trained on 12k MIDI data with Miditok REMI tokenization, Apple Silicon MPS training, checkpoint comparison, and MIDI sample generation.

An end to end machine learning system with mlflow to predict the failure of engine component

sistema foi desenvolvido para aprimorar a previsão de vazões mínimas em bacias tropicais sazonais, oferecendo suporte técnico à decisão para outorgas de recursos hídricos e mitigação de secas, superando as limitações dos modelos hidrológicos tradicionais.

This is one of the repository where I have put lot of data science and machine learning related questions on their solutions I hope you will find something better than some other platforms. Thank you Happy exploring