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[CVPR 2025] A Comprehensive Benchmark for Document Parsing and Evaluation
Render markdown on the CLI, with pizzazz! π π»
Question Answering and Generation for Summarization
Build realtime voice and video agents with Google's new Gemini 2.0 (API is free for now)
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
FULL v0, Cursor, Manus, Same.dev, Lovable, Devin, Replit Agent, Windsurf Agent, VSCode Agent, Dia Browser & Trae AI (And other Open Sourced) System Prompts, Tools & AI Models.
High-performance retrieval engine for unstructured data
A modernized, complete, self-contained TeX/LaTeX engine, powered by XeTeX and TeXLive.
Python tool for converting files and office documents to Markdown.
Get your documents ready for gen AI
The WeightWatcher tool for predicting the accuracy of Deep Neural Networks
ππ€ Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper. Don't be shy, join here: https://discord.gg/jP8KfhDhyN
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
Interpretable ML package π for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Structured information extraction from documents
The code used to train and run inference with the ColVision models, e.g. ColPali, ColQwen2, and ColSmol.
π OpenHands: Code Less, Make More
An open source python library for automated feature engineering
Frouros: an open-source Python library for drift detection in machine learning systems.
[EMNLP 2024 Demo] TinyAgent: Function Calling at the Edge!
The Virtual Feature Store. Turn your existing data infrastructure into a feature store.
Statsmodels: statistical modeling and econometrics in Python
Dermatology ddx dataset, Jax implementations of Monte Carlo conformal prediction, plausibility regions and statistical annotation aggregation from our recent work on uncertain ground truth (TMLR'23β¦
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
Rule engine implementation in Golang
Ruleset covering algorithms for transparent machine learning
Enforce the output format (JSON Schema, Regex etc) of a language model
Algorithms for explaining machine learning models