Stars
Get your documents ready for gen AI
Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing…
An agent-managed museum exhibit, built in Rust with Gajae-Code / LazyCodex — developed and maintained with no human intervention.
Türkçe Doğal Dil İşleme (NLP) alanındaki kaynakları bir araya getiren bu repoyla, profesyonel yolculuğunuzda sizlere rehberlik etmeyi hedefliyoruz.
Turkish Morphological Analysis library
A two-level morphological analyzer for Turkish.
🌎 machine learning tutorials (mainly in Python3)
Projects & Resources to help you become a better AI Developer.
A library for feature selection for gradient boosting models using regression on feature Shapley values
Cross-platform, customizable ML solutions for live and streaming media.
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
Perform data science on data that remains in someone else's server
Python training for business analysts and traders
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Source code for the X Recommendation Algorithm
Extrapolating knowledge graphs from unstructured text using GPT-3 🕵️♂️
An open-source NLP research library, built on PyTorch.
This repository contains all the Cheat Sheet for Data Science,Python Libraries and Git.
Classical ML equations in Latex, helps paper and blog writing
Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
XTREME is a benchmark for the evaluation of the cross-lingual generalization ability of pre-trained multilingual models that covers 40 typologically diverse languages and includes nine tasks.
State-of-the-Art Embeddings, Retrieval, and Reranking
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.