Lorenz

spatialfusion. This repository contains the package SpatialFusion, a deep-learning multimodal model for niche discovery in spatial transcritomics and histopathological data.

paseo. Orchestrate multiple coding agents from desktop and mobile

bm25x. A fast, streaming-friendly BM25 search engine in Rust with mmap support

PaddleOCR. 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.

last30days-skill. AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary

pylate. Late Interaction Models Training & Retrieval

VectorChord. Scalable, fast, and disk-friendly vector search in Postgres, the successor of pgvecto.rs.

autokernel. Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels.

langextract. A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.

paper-qa. High accuracy RAG for answering questions from scientific documents with citations

xtr-warp. XTR/WARP (SIGIR'25) is an extremely fast and accurate retrieval engine based on Stanford's ColBERTv2/PLAID and Google DeepMind's XTR.

dspydantic. DSPydantic: Auto-Optimize Your Prompts and Pydantic Models with DSPy

RADIO. Official repository for "AM-RADIO: Reduce All Domains Into One"

lightly. A python library for self-supervised learning on images.

reasoning-from-scratch. Implement a reasoning LLM in PyTorch from scratch, step by step

Qwen3-VL-Embedding. Python

jaxtyping. Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/

UMIE_datasets. Python

a2ui. TypeScript

Project-Imaging-X. Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development

cutile-python. cuTile is a programming model for writing parallel kernels for NVIDIA GPUs

stable-pretraining. Reliable, minimal and scalable library for pretraining foundation and world models

humanlayer. The best way to get AI coding agents to solve hard problems in complex codebases.

openvas-scanner. This repository contains the scanner component for Greenbone Community Edition.

templates. Templates for ISO 13485, IEC 62304, ISO 14971 and IEC 62366 compliance.

cell-eval. Comprehensive suite for evaluating perturbation prediction models

mantis-viewer. Electron-based multiplexed imaging viewer

PufferLib. Puffing up reinforcement learning

Copernicus-FM. Towards a Unified Copernicus Foundation Model for Earth Vision

inspect_ai. Inspect: A framework for large language model evaluations

MRGen. [ICCV 2025] MRGen: Segmentation Data Engine for Underrepresented MRI Modalities

verifiers. Our library for RL environments + evals

LLM-Trading-Lab. This repo powers my experiment where ChatGPT manages a real-money micro-cap stock portfolio.

openbench. Provider-agnostic, open-source evaluation infrastructure for language models

Archon. The first open-source harness builder for AI coding. Make AI coding deterministic and repeatable.

claude-code. Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows - all through natural language commands.

audio. Data manipulation and transformation for audio signal processing, powered by PyTorch

Lean. Lean Algorithmic Trading Engine by QuantConnect (Python, C#)

CopilotKit. The Frontend Stack for Agents & Generative UI. React, Angular, Mobile, Slack, and more. Makers of the AG-UI Protocol

torchft. Fault tolerance for PyTorch (HSDP, LocalSGD, DiLoCo, Streaming DiLoCo)

gitingest. Replace 'hub' with 'ingest' in any GitHub URL to get a prompt-friendly extract of a codebase

RareArena. A Comprehensive Rare Disease Diagnostic Dataset with nearly 50,000 patients covering more than 4000 diseases

ViT-Adapter. [ICLR 2023 Spotlight] Vision Transformer Adapter for Dense Predictions

beyond-nanogpt. Minimal and annotated implementations of key ideas from modern deep learning research.

RadVLM. A Multitask Conversational Vision-Language Model for Radiology

MedVAE. [MIDL 2025] Efficient Automated Interpretation of Medical Images with Large-Scale Generalizable Autoencoders

onlook. The Cursor for Designers • An Open-Source AI-First Design tool • Visually build, style, and edit your React App with AI

ames. AMES: Asymmetric and Memory-Efficient Similarity

VLM-Radiology-Agent-Framework. Jupyter Notebook

optuna. A hyperparameter optimization framework

medgemma. Jupyter Notebook

marker. Convert PDF to markdown + JSON quickly with high accuracy

batched. The Batched API provides a flexible and efficient way to process multiple requests in a batch, with a primary focus on dynamic batching of inference workloads.

embedding-atlas. Embedding Atlas is a tool that provides interactive visualizations for large embeddings. It allows you to visualize, cross-filter, and search embeddings and metadata.

baguetter. Baguetter is a flexible, efficient, and hackable search engine library implemented in Python. It's designed for quickly benchmarking, implementing, and testing new search methods. Baguetter supports sparse (traditional), dense (semantic), and hybrid retrieval methods.

deer-flow. An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.

CellTune-App. Public landing page and releases for CellTune.

nanoVLM. The simplest, fastest repository for training/finetuning small-sized VLMs.

perception_models. State-of-the-art Image & Video CLIP, Multimodal Large Language Models, and More!

textgrad. TextGrad: Automatic ''Differentiation'' via Text -- using large language models to backpropagate textual gradients. Published in Nature.

python-blosc2. A high-performance library for compressed ND arrays and columnar tables, with compute and indexing engines

c-blosc2. A fast, compressed, persistent binary data store library for C.

nnUNet. Python

kotaemon. An open-source RAG-based tool for chatting with your documents.

pubmed_parser. :clipboard: A Python Parser for PubMed Open-Access XML Subset and MEDLINE XML Dataset

OpenManus. No fortress, purely open ground. OpenManus is Coming.

ai2-scholarqa-lib. Repo housing the open sourced code for the ai2 scholar qa app and also the corresponding library

SimDINO. [ICML 2025] Official Implementation for SimDINO/SimDINOv2

torchtitan. A PyTorch native platform for training generative AI models

healthcareai-examples. Jupyter Notebook

fft. Python

deepcell-types. Python

olmocr. Toolkit for linearizing PDFs for LLM datasets/training

wasp. The batteries-included full-stack framework for the AI era. Develop JS/TS web apps (React, Node.js, and Prisma) using declarative code that abstracts away complex full-stack features like auth, background jobs, RPC, email sending, end-to-end type safety, single-command deployment, and more.

ViDoRAG. [EMNLP 2025] ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning Agents

siglip. Projects based on SigLIP (Zhai et. al, 2023) and Hugging Face transformers integration 🤗

conditional-flow-matching. TorchCFM: a Conditional Flow Matching library

s1. s1: Simple test-time scaling

oumi. Easily fine-tune, evaluate and deploy Qwen, Gemma, or any open weight LLM!

open-r1. Fully open reproduction of DeepSeek-R1

fiftyone. Refine high-quality datasets and visual AI models

colpali. The code used to train and run inference with the ColVision models, e.g. ColPali, ColQwen2, and ColSmol.

arctique. Python

virtues. A foundation model framework for analyzing multiplexed tissue imaging data across molecular, cellular and tissue scales enabling clinical diagnostics, biological discovery and patient case retrieval.

Merlin. [Nature 2026] Merlin is a 3D VLM for computed tomography that leverages both structured electronic health records (EHR) and unstructured radiology reports for pretraining.

CellViT-plus-plus. Python

markitdown. Python tool for converting files and office documents to Markdown.

TransformerLens. A library for mechanistic interpretability of GPT-style language models

picotron. Minimalistic 4D-parallelism distributed training framework for education purpose

tract. TrAct: Making First-layer Pre-Activations Trainable

jan. Jan is an open source alternative to ChatGPT that runs 100% offline on your computer.

torchSOM. Python

NanoPyx. Nanoscopy library for Python (NanoPyx, the successor to NanoJ) - focused on light microscopy and super-resolution imaging

smolagents. 🤗 smolagents: a barebones library for agents that think in code.

deepinv. DeepInverse: a PyTorch library for solving imaging inverse problems using deep learning

datasets. 🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools

uv. An extremely fast Python package and project manager, written in Rust.

ollama-python. Ollama Python library

mmcv. OpenMMLab Computer Vision Foundation

the_well. A 15TB Collection of Physics Simulation Datasets

VGen. Official repo for VGen: a holistic video generation ecosystem for video generation building on diffusion models

ml-aim. This repository provides the code and model checkpoints for AIMv1 and AIMv2 research projects.

unsloth. Unsloth is a local UI for training and running Kimi K3, Gemma 4, Qwen3.6, DeepSeek, GLM and other models.

byaldi. Use late-interaction multi-modal models such as ColPali in just a few lines of code.

trl. Train transformer language models with reinforcement learning.

rerankers. A lightweight, low-dependency, unified API to use all common reranking and cross-encoder models.

Curator. Scalable data pre processing and curation toolkit for LLMs

ragflow. RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

torchmetrics. Machine learning metrics for distributed, scalable PyTorch applications.

ssl-data-curation. PyTorch code for hierarchical k-means -- a data curation method for self-supervised learning

UCE. UCE is a zero-shot foundation model for single-cell gene expression data

Python. All Algorithms implemented in Python

scenic. Scenic: A Jax Library for Computer Vision Research and Beyond

cellSAM. Codebase for "A Foundation Model for Cell Segmentation"

sam2. The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

neurallambda. Reasoning Computers. Lambda Calculus, Fully Differentiable. Also Neural Stacks, Queues, Arrays, Lists, Trees, and Latches.

storm. An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.

PEERCE. PEERCE, PD-L1 Expression Estimation for Rare Cancer Entities

ell. A language model programming library.

hover_next_inference. Inference code for HoVer-NeXt

OpenHands. 🙌 OpenHands: AI-Driven Development

MiniCPM-V. A Pocket-Sized MLLM for Ultra-Efficient Image and Video Understanding on Your Phone

InternVL. [CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4o. 接近GPT-4o表现的开源多模态对话模型

dspy. DSPy: The framework for programming—not prompting—language models

Nimbus-Inference. Python

openvino. OpenVINO™ is an open source toolkit for optimizing and deploying AI inference

OpenSearch. 🔎 Open source distributed and RESTful search engine.

magiclens. [ICML'24 Oral] "MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions"

direct. Deep learning framework for MRI reconstruction

UnSAM. [NeurIPS 2024] Code release for "Segment Anything without Supervision"

openst. Open-ST: profile and analyze tissue transcriptomes in 3D with high resolution in your lab

Dragonfly. Python

performance. :muscle: Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)

Vane. Vane is an AI-powered answering engine.

autogen. A programming framework for agentic AI

ChatWizard. OpenAI chat client desktop app (Windows, MacOS, Linux)

Bend. A massively parallel, high-level programming language

X2-VLM. All-In-One VLM: Image + Video + Transfer to Other Languages / Domains (TPAMI 2023)

ThunderKittens. Tile primitives for speedy kernels

OpenCRISPR. AI-generated gene editing systems

hover_next_train. Training/Evaluation code for HoVer-NeXt

SynthSR. A framework for joint super-resolution and image synthesis, without requiring real training data

multimodal. TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.

axolotl. Go ahead and axolotl questions

vitessce. Vitessce is a visual integration tool for exploration of spatial single-cell experiments.

LLaVA. [NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

scaling_on_scales. When do we not need larger vision models?

uvadlc_notebooks. Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

datatrove. Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.

subobjects. Official repository of paper "Subobject-level Image Tokenization" (ICML-25)

Me-LLaMA. A novel medical large language model family with 13/70B parameters, which have SOTA performances on various medical tasks

professional-programming. A collection of learning resources for curious software engineers

fast-soft-sort. Fast Differentiable Sorting and Ranking

torchreg. Lightweight image registration library using PyTorch

cookiecutter-napari-plugin. Cookiecutter for napari plugins

datasets. Images and other data from the JUMP Cell Painting Consortium

dynamic-network-architectures. Python

ivy. Convert Machine Learning Code Between Frameworks

catalyst. Accelerated deep learning R&D

masif. MaSIF- Molecular surface interaction fingerprints. Geometric deep learning to decipher patterns in molecular surfaces.

RP3D-Diag. Code implementation of RP3D-Diag

cookiecutter-scverse. Cookiecutter template for scverse

cosmopolitan. build-once run-anywhere c library

spatialdata. An open and interoperable data framework for spatial omics data

vstar. PyTorch Implementation of "V* : Guided Visual Search as a Core Mechanism in Multimodal LLMs"

PySyft. Perform data science on data that remains in someone else's server

deepcell-label. Cloud-based data annotation tools for biological images

fpng-python. Python bindings for fpng

2024_Chandrasekaran_NatureMethods_CPJUMP1. Jupyter Notebook

mamba. Mamba SSM architecture

Nimbus. Python

DToP. Boosting vision transformers for image retrieval, proposed design of Deep Token Pooling(DToP)

build-your-own-x. Master programming by recreating your favorite technologies from scratch.

CellViT. CellViT: Vision Transformers for Precise Cell Segmentation and Classification

triton. Development repository for the Triton language and compiler

PMC-VQA. PMC-VQA is a large-scale medical visual question-answering dataset, which contains 227k VQA pairs of 149k images that cover various modalities or diseases.

UniBrain. An offcial implementation for UniBrain: Universal Brain MRI Diagnosis with Hierarchical Knowledge-enhanced Pre-training

cucim. cuCIM - RAPIDS GPU-accelerated image processing library

pytorch-stardist. PyTorch implementation of 2D and 3D StarDist - Object Detection with Star-convex Shapes

wsinfer. 🔥 🚀 Blazingly fast pipeline for patch-based classification in whole slide images

tuning_playbook. A playbook for systematically maximizing the performance of deep learning models.

chromatix. Differentiable wave optics using JAX! Documentation can be found at https://chromatix.readthedocs.io

big_vision. Official codebase used to develop Vision Transformer, SigLIP, MLP-Mixer, LiT and more.

cellulus. Unsupervised Instance Segmentation in Microscopy

coding-interview-university. A complete computer science study plan to become a software engineer.

unicom. Large-Scale Visual Representation Model

ImPartial. Interactive deep learning cell segmentation using partial annotations [MICCAI'26]

aydin. Aydin — User-friendly, Fast, Self-Supervised Image Denoising for All.

x-transformers. A concise but complete full-attention transformer with a set of promising experimental features from various papers

jax. Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

candle. Minimalist ML framework for Rust

open-metric-learning. Metric learning and retrieval pipelines, models and zoo.

med-flamingo. Python

LLaVA-Med. Large Language-and-Vision Assistant for Biomedicine, built towards multimodal GPT-4 level capabilities.

LAVIS. LAVIS - A One-stop Library for Language-Vision Intelligence

ark-analysis. Integrated pipeline for multiplexed image analysis

Cell_ACDC. A Python GUI-based framework for segmentation, tracking and cell cycle annotations of microscopy data

GenerativeModels. MONAI Generative Models makes it easy to train, evaluate, and deploy generative models and related applications

Open-Assistant. OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

RadImageGAN.