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Real-time face swap for PC streaming or video calls
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
π Open source self-hosted web archiving. Takes URLs/browser history/bookmarks/Pocket/Pinboard/etc., saves HTML, JS, PDFs, media, and more...
An open-source RAG-based tool for chatting with your documents.
γͺγ’γ«γΏγ€γ γγ€γΉγγ§γ³γΈγ£γΌ Realtime Voice Changer
π¨ Generate and change color-schemes on the fly.
ππ¬ ShortGPT - Experimental AI framework for youtube shorts / tiktok channel automation
Ecoute is a live transcription tool that provides real-time transcripts for both the user's microphone input (You) and the user's speakers output (Speaker) in a textbox.
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
π A simple command-line utility for querying and monitoring GPU status
π π π Build complex dashboards without any front-end code. Use your own endpoints. JSON config only. Ready to go.
An AI agent that beats the classic game "Snake".
A CLI tool to convert CSV / Excel / HTML / JSON / Jupyter Notebook / LDJSON / LTSV / Markdown / SQLite / SSV / TSV / Google-Sheets to a SQLite database file.
Algorithm implementations and homework solutions for the Stanford's online courses
Scikit-learn tutorials for the Scipy 2013 conference
5th place solution for Kaggle competition Favorita Grocery Sales Forecasting
Code to share different ensemble techniques with focus on meta-stacking , using data from Amazon.com - Employee Access Challenge kaggle competition
autosklearn-zeroconf is a fully automated binary classifier. It is based on the AutoML challenge winner auto-sklearn. Give it a dataset with known outcomes (labels) and it returns a list of predictβ¦
Open solution to the Data Science Bowl 2018
Lightweight, Python library for fast and reproducible experimentation π¬
GoPiGo robot driven autonomously by trained CNN using retrained Tensorflow Inception
Analysis of credit card fraud data
Python examples of the homework examples for Andrew Ng's Stanford Machine Learning class on Coursera


