Keith's starred repositories
Awesome-LLM
Awesome-LLM: a curated list of Large Language Model
Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
Machine-Learning-Interviews
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
MLQuestions
Machine Learning and Computer Vision Engineer - Technical Interview Questions
Semantic-SAM
[ECCV 2024] Official implementation of the paper "Semantic-SAM: Segment and Recognize Anything at Any Granularity"
Awesome-Diffusion-Models-in-Medical-Imaging
Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)
ProteinMPNN
Code for the ProteinMPNN paper
alphafold3-pytorch
Implementation of Alphafold 3 in Pytorch
AlphaFold3
Implementation of Alpha Fold 3 from the paper: "Accurate structure prediction of biomolecular interactions with AlphaFold3" in PyTorch
awesome-protein-representation-learning
Awesome Protein Representation Learning
parti-pytorch
Implementation of Parti, Google's pure attention-based text-to-image neural network, in Pytorch
tokenize-anything
[ECCV 2024] Tokenize Anything via Prompting
awesome-small-molecule-ml
A curated list of resources for machine learning for small-molecule drug discovery
af2complex
Predicting direct protein-protein interactions with AlphaFold deep learning neural network models.
fit-python-sdk
Official Garmin FIT Python SDK
awesome-mass-spectrometry-ml
Awesome papers and codes list of analytical chemistry-related deep learning methods
saltnpeppr
An Interface-Predicting Language Model for Designing Peptide-Guided Protein Degraders
DeepRank-GNN-esm
Graph Network for protein-protein interface including language model features
grafanalib
Python library for building Grafana dashboards