Highlights
- Pro
Lists (1)
Sort Name ascending (A-Z)
Stars
This software contains an agent based on LangGraph & LangChain for solving general requests in the Whatsapp channel of this medical clinic
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
list of papers, code, and other resources
WebApps in pure Python. No JavaScript, HTML and CSS needed
Repo designed to help learn the Hugging Face ecosystem (transformers, datasets, accelerate + more).
relplot: Utilities for measuring calibration and plotting reliability diagrams
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
🏡 Open source home automation that puts local control and privacy first.
Investment Research for Everyone, Everywhere.
Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications.
A list of VLMs tailored for medical RG and VQA; and a list of medical vision-language datasets
The best collection of AI tutorials to make you a boss of Data Science!
This is a python API which allows you to get the transcript/subtitles for a given YouTube video. It also works for automatically generated subtitles and it does not require an API key nor a headles…
Things you can do with the token embeddings of an LLM
Turns Data and AI algorithms into production-ready web applications in no time.
Lists of company wise questions available on leetcode premium. Every csv file in the companies directory corresponds to a list of questions on leetcode for a specific company based on the leetcode …
Mixture-of-Experts for Large Vision-Language Models
Bu proje TEKNOFEST 2024 Antalya T3AI Hackathon Yarışması İnce Ayarlama Kategorisi için geliştirilmiştir
Aşağılayıcı Söylemlerin Doğal Dil İşleme İle Tespiti
NLP Zero to Hero in just 10 Kernels
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
This project is a Streamlit app enabling semantic search on CSV files. It uses a language model to match user queries with relevant columns via FAISS, then generates Pandas code to analyze the data.
Lightning-fast serving engine for AI models. Flexible. Easy. Enterprise-scale.