Stars
[NeurIPS'24] HippoRAG is a novel RAG framework inspired by human long-term memory that enables LLMs to continuously integrate knowledge across external documents. RAG + Knowledge Graphs + Personali…
[ICML-25] AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML
The knowledge compiler. Raw sources in, interlinked wiki out. Inspired by Karpathy's LLM Wiki pattern.
mini cli search engine for your docs, knowledge bases, meeting notes, whatever. Tracking current sota approaches while being all local
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
Native TIDAL desktop client for Linux. Modern UI, custom themes, and bit-perfect lossless audio up to 24-bit/192kHz via exclusive ALSA.
Model implementation for the contextual embeddings project
Document image dewarping library using a cubic sheet model
A comprehensive list of awesome document image rectification papers.
This repository contains a paper collection of the methods for document image processing, including appearance enhancement, deshadowing, dewarping, deblurring, binarization and so on.
[CVPR 2024] DocRes: A Generalist Model Toward Unifying Document Image Restoration Tasks
[CVPR 2026] Towards Real-Time Diffusion-Based Streaming Video Super-Resolution — An efficient one-step diffusion framework for streaming VSR with locality-constrained sparse attention and a tiny co…
Python script to download models from CIVITAI using an API key
Chronos: Pretrained Models for Time Series Forecasting
(NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning
"RAG-Anything: All-in-One RAG Framework"
A PyTorch implementation of constrained optimization and modeling techniques
Treeffuser is an easy-to-use package for probabilistic prediction and probabilistic regression on tabular data with tree-based diffusion models.
A minimal, modern Python project template using uv
Awesome-llm-role-playing-with-persona: a curated list of resources for large language models for role-playing with assigned personas
An extension of LightGBM to probabilistic modelling
Kernel density integral transformation: feature preprocessing and univariate clustering (TMLR, 2023)
Zero-shot Time Series Forecasting with TabPFN (work accepted at NeurIPS 2024 TRL and TSALM workshops)
A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, cl…
Extra blocks for scikit-learn pipelines.
Hydra is a framework for elegantly configuring complex applications