jacob-rosenthal

jacob-rosenthal's Stars

• zsviczian/obsidian-excalidraw-plugin

  A plugin to edit and view Excalidraw drawings in Obsidian

  Language:TypeScript4k215

• kuleshov/cornell-cs5785-2024-applied-ml

  Lecture materials for Cornell CS5785 Applied Machine Learning (Fall 2024)

  Language:Jupyter Notebook371135

• MuiseDestiny/zotero-gpt

  GPT Meet Zotero.

  Language:TypeScript4.9k197

• echonet/echo_CLIP

  Language:Python678

• rmzelle/ref-extractor

  Reference Extractor - Extract Zotero/Mendeley references from Microsoft Word files

  Language:JavaScript31818

• rxhanson/Rectangle

  Move and resize windows on macOS with keyboard shortcuts and snap areas

  Language:Swift25.6k767

• alanqrwang/brainmorph

  A Foundational Keypoint Model for Robust and Flexible Brain MRI Registration

  Language:Python254

• prov-gigapath/prov-gigapath

  Prov-GigaPath: A whole-slide foundation model for digital pathology from real-world data

  Language:Python35143

• mahmoodlab/TriPath

  Analysis of 3D pathology samples using weakly supervised AI - Cell

  Language:Python896

• dottxt-ai/outlines

  Structured Text Generation

  Language:Python8.2k416

• stanfordnlp/dspy

  DSPy: The framework for programming—not prompting—foundation models

  Language:Python16.7k1.3k

• Dana-Farber-AIOS/GPT4DFCI

  A private and secure generative AI tool, based on GPT-4 and deployed for non-clinical use at Dana-Farber Cancer Institute

  Language:TypeScript557

• astral-sh/uv

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

  Language:Rust20k594

• kmboehm/orpheus

  Language:Python4

• ImagingDataCommons/IDC-Tutorials

  Self-guided notebook tutorials to help get started with using IDC

  Language:Jupyter Notebook2714

• younader/Vesuvius-Grandprize-Winner

  Language:Python55634

• obss/sahi

  Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

  Language:Python4k577

• ml-explore/mlx

  MLX: An array framework for Apple silicon

  Language:C++16.4k938

• Novestars/Neural_Pre_Processing

  Neural Pre Processing is an end-to-end weakly supervised learning approach for converting raw head MRI images to intensity-normalized, skull-stripped brain in a standard coordinate space

  Language:Python254

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python21k3.6k

• nadeemlab/ImPartial

  Interactive deep learning whole-cell segmentation and thresholding using partial annotations

  Language:Jupyter Notebook323

• PrecisionHealthLLM/PrecisionHealthLLM.github.io

  Language:HTML1

• wasserth/TotalSegmentator

  Tool for robust segmentation of >100 important anatomical structures in CT and MR images

  Language:Python1.4k237

• owkin/HistoSSLscaling

  Code associated to the publication: Scaling self-supervised learning for histopathology with masked image modeling, A. Filiot et al., MedRxiv (2023). We publicly release Phikon 🚀

  Language:Jupyter Notebook14011

• zhjohnchan/awesome-radiology-report-generation

  A curated list of radiology report generation (medical report generation) and related areas. :-)

  17122

• promptfoo/promptfoo

  Test your prompts, agents, and RAGs. Red teaming, pentesting, and vulnerability scanning for LLMs. Compare performance of GPT, Claude, Gemini, Llama, and more. Simple declarative configs with command line and CI/CD integration.

  Language:TypeScript4.2k303

• vllm-project/vllm

  A high-throughput and memory-efficient inference and serving engine for LLMs

  Language:Python26.8k3.9k

• simonw/llm

  Access large language models from the command-line

  Language:Python4k223

• ggerganov/ggml

  Tensor library for machine learning

  Language:C++10.8k1k

• mlfoundations/open_flamingo

  An open-source framework for training large multimodal models.

  Language:Python3.7k277