Inference code for CodeLlama models

🤖 A PyTorch library of curated Transformer models and their composable components

Code for Paper: “Low-Resource” Text Classification: A Parameter-Free Classification Method with Compressors

A tiny nearest-neighbor embedding database built with SQLite and Pytorch. (In development!)

A unifying framework for biomedical research knowledge graphs

LLM inference in C/C++

🦙 Integrating LLMs into structured NLP pipelines

Port of Microsoft's BioGPT in C/C++ using ggml

A Bulletproof Way to Generate Structured JSON from Language Models

A Pure Python, React-style Framework for Scaling Your Jupyter and Web Apps

Official implementation of "From Zero to Hero: Convincing with Extremely Complicated Math" (SIGBOVIK'23).

Source code for the X Recommendation Algorithm

GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

Takagi and Nishimoto, CVPR 2023

A quick reference guide for the Pythonista in the process of becoming a Rustacean

WikiNetworks is a user-friendly Python package to process pathways from the WikiPathways database into machine-readable network representations.

For when people get too hyped up about things

tiara – a tool for DNA sequence classification

Making pretty generated SVGs in Python

Open source code for AlphaFold 2.

Lecture notes for 'Interpretable Machine Learning' at UoW. Summer semester 2020/2021

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology