- San Francisco, CA
- http://jonathanking.github.io
- @jonathan_e_king
Stars
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Code for the paper "Language Models are Unsupervised Multitask Learners"
Open source code for AlphaFold 2.
🚴 Call stack profiler for Python. Shows you why your code is slow!
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
Neural network visualization toolkit for keras
Python 3.8+ toolbox for submitting jobs to Slurm
An implementation of "A Neural Algorithm of Artistic Style" by L. Gatys, A. Ecker, and M. Bethge. http://arxiv.org/abs/1508.06576.
parallel graph management and execution in heterogeneous computing
🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.
OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
Export saved Reddit posts into a HTML file for import into Google Chrome.
Fetch Facebook Birthdays events and create an ICS file for use with calendar apps
Simple and unobtrusive menu bar timer for macOS.
A simple Python library to generate model peptides
Official implementation of "Equivariant Shape-Conditioned Generation of 3D Molecules for Ligand-Based Drug Design"
A collections of scripts for working molecular dynamics simulations
Implementation of the SolTranNet tool utilizing the molecular transformer to predict aqueous solubility
Singularity recipe for AlphaFold
Code examples for CMU CS11-731, Machine Translation and Sequence-to-sequence Models
🔗 PyTorch implementation of the Parallelized Natural Extension Reference Frame algorithm
Building more accurate protein structures from backbone torsion angles
Python application for "Experimental High Throughput Sequencing"




