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Universität Tübingen
- https://mlcolab.org
- in/v-starostin
Starred repositories
This repo contains the source code for the paper "Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning"
Python library for loading and using triangular meshes.
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.
Plumb a PDF for detailed information about each char, rectangle, line, et cetera — and easily extract text and tables.
A Differentiable Interferometer Simulator for the Computational Design of Gravitational Wave Detectors
PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.
Hierarchical Reasoning Model Official Release
This is the official repository for The Hundred-Page Language Models Book by Andriy Burkov
This is a community-driven collection of resources around amortized inference.
An extremely fast Python package and project manager, written in Rust.
Cookiecutter template for a Python package.
BoxMOT: Pluggable SOTA multi-object tracking modules modules for segmentation, object detection and pose estimation models
A connectome-constrained deep mechanistic network (DMN) model of the fruit fly visual system in PyTorch.
Quick implementation of nGPT, learning entirely on the hypersphere, from NvidiaAI
Community-sourced list of papers and resources on neural simulation-based inference.
A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
#1 Locally hosted web application that allows you to perform various operations on PDF files
Combination of transformers and diffusion models for flexible all-in-one simulation-based inference
Claude Engineer is an interactive command-line interface (CLI) that leverages the power of Anthropic's Claude-3.5-Sonnet model to assist with software development tasks.This framework enables Claud…
A modular graph-based Retrieval-Augmented Generation (RAG) system