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Broad Institute of MIT and Harvard
- Cambridge, MA
- quasimorphic.com
- https://orcid.org/0000-0001-8698-5477
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Cell2Sentence: Teaching Large Language Models the Language of Biology
Aporetic fonts are a custom build of Iosevka with different style and metrics than the default. This is the successor to my "Iosevka Comfy" fonts.
An opinionated Hugo theme using Modus themes colors
afermg / dinov3
Forked from facebookresearch/dinov3Reference PyTorch implementation and models for DINOv3
Deploy and access image and data processing models from different environments.
Implementation of Nahual server to deploy generic Vision Transformers.
This is a convenient code wrapper to run Lundberg lab SubCell model in inference with your own images
A concise grammar of interactive graphics, built on Vega.
⚡ Blazing-fast tool to grab screenshots of your domain list right from terminal.
Emacs as your personal AI assistant. Use LLMs such as ChatGPT or LLaMA for text generation or DALL-E and Stable Diffusion for image generation. Also supports speech input / output.
A number of new custom blocks and link types for Emacs' Org-mode ^_^
An accurate Org-mode parser for JavaScript/TypeScript
😎 A curated list of awesome, language-agnostic WebAssembly tools
Selfhost your Emacs and access it in browser
📁 What Dropbox should have been if it was based on SFTP, S3, FTP, WebDAV, Git, and more
org-mode on the web, built with React, optimized for mobile, synced with Dropbox and Google Drive
Renders org-mode documents in a web browser on demand
A privacy-first, open-source platform for knowledge management and collaboration. Download link: http://github.com/logseq/logseq/releases. roadmap: https://discuss.logseq.com/t/logseq-product-roadm…
A curated list of Awesome tools and resources for org-mode and related files/
A parser and converter for org-mode notation, written in JavaScript
An implementation of Org mode without the dependency of Emacs - built for mobile and desktop browsers
The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that sho…