-
OpenBioML.org
- Vienna, Austria
- @MichaelMPieler
Block or Report
Block or report MicPie
Contact GitHub support about this user’s behavior. Learn more about reporting abuse.
Report abuseStars
Language
Sort by: Recently starred
Simple python script to easily download the large FineWeb datasets from HuggingFace
Code for 'LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders'
Convert PDF to markdown quickly with high accuracy
Kernl lets you run PyTorch transformer models several times faster on GPU with a single line of code, and is designed to be easily hackable.
A lightweight framework to efficiently screen vector databases
Personalize Segment Anything Model (SAM) with 1 shot in 10 seconds
GPT4All: Chat with Local LLMs on Any Device
Minimalistic, extremely fast, and hackable researcher's toolbench for GPT models in 307 lines of code. Reaches <3.8 validation loss on wikitext-103 on a single A100 in <100 seconds. Scales to large…
A Gradio web UI for Large Language Models.
Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE)
🦁 Lion, new optimizer discovered by Google Brain using genetic algorithms that is purportedly better than Adam(w), in Pytorch
overview of datasets for ML in chemistry
Tools to scrape publication metadata from pubmed, arxiv, medrxiv and chemrxiv.
A playbook for systematically maximizing the performance of deep learning models.
🦜🔗 Build context-aware reasoning applications
Natural language computational chemistry command line interface.
A Library for Differentiable Logic Gate Networks
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Implementation of Recurrent Interface Network (RIN), for highly efficient generation of images and video without cascading networks, in Pytorch
A Pytorch-based library to evaluate learning methods on small image classification datasets
Implementation of MedSegDiff in Pytorch - SOTA medical segmentation using DDPM and filtering of features in fourier space
A deep learning model for small molecule drug discovery and cheminformatics based on SMILES