Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
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Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
⚡ TabPFN: Foundation Model for Tabular Data ⚡
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.
Uniform Manifold Approximation and Projection
Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
TranslatedSay goodbye to boredom; dedicated to creating practical small Python examples. For more conscientious Python tutorials, see https://ai-jupyter.com
A fast PostgreSQL Database Client Library for Python/asyncio.
Ingest, parse, and optimize any data format ➡️ from documents to multimedia ➡️ for enhanced compatibility with GenAI frameworks
TranslatedA knowledge graph for mathematics (primary school to high school), English (grade 3 to high school), and junior high school physics: 1,644 knowledge points, 2,403 prerequisite edges, and 6,723 questions, aligned with the curriculum standards, with an adaptive prerequisite diagnostic.
Translated⛽️ "Algorithm Clearance Handbook": A learning tutorial on "algorithms and data structures" starting from zero, with 200 "popular algorithm interview questions" and 1000+ "LeetCode problem analyses", continuously updated!
An open source python library for automated feature engineering
A Collection of Variational Autoencoders (VAE) in PyTorch.
OpenCompass is an LLM evaluation platform, supporting a wide range of models from OpenAI, Anthropic, Gemini, Qwen, GLM, DeepSeek, etc, across 100+ datasets covering knowledge, reasoning, coding, science, language, long-context, and safety.
TinyDB is a lightweight document oriented database optimized for your happiness :)
Open-source observability for your GenAI or LLM application, based on OpenTelemetry
TranslatedOpen-source manuscript of 《深入理解 AI Infra:量化分析与系统设计》 (In-Depth Understanding of AI Infra: Quantitative Analysis and System Design), by 李博杰 (Li Bojie): starting from hardware constraints and model architecture, it quantitatively derives the system design of LLM inference and training. Includes the full text of the book, a PDF, and companion calculation tools and experiments
TranslatedIntroductory tutorial on recommender systems, online reading address: https://datawhalechina.github.io/fun-rec/
The AI local media metadata crawler
LLM-Driven Extraction of Unstructured Data — Built for API Deployments & ETL Pipeline Workflows
Python Data. Leaflet.js Maps.
The Open Source Feature Store for AI/ML
A User-Focused Photo & File Management System