anar-rzayev
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A docker-compose stack for Prometheus monitoring
Fusion of protein sequence and structural information, using denoising pre-training network for protein engineering (zero-shot).
Pytorch implementation for ICML 2024 paper Proteus: Exploring Protein Structure Generation for Enhanced Designability and Efficiency.
KA-Search: Rapid and exhaustive sequence identity search of known antibodies
MMseqs2: ultra fast and sensitive search and clustering suite
This repo contains the codes for our paper Conditional Antibody Design as 3D Equivariant Graph Translation.
DockQ is a single continuous quality measure for protein docked models based on the CAPRI evaluation protocol
Improved antibody structure-based design using inverse folding
Compilation of literature examples of generative drug design that demonstrates experimental validation
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
The NHANES Data 'API' is a Python tool that simplifies access to the National Health and Nutrition Examination Survey (NHANES) dataset. This project provides an easy-to-use API to retrieve NHANES d…
An open-source platform for developing protein models beyond AlphaFold.
BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages
Python app to work with pictures and associated metadata from Apple Photos on macOS. Also includes a package to provide programmatic access to the Photos library, pictures, and metadata.
CRNN (CNN+RNN) for OCR using Keras / License Plate Recognition
An extremely fast Python linter and code formatter, written in Rust.
AlphaFold Meets Flow Matching for Generating Protein Ensembles
The official PyTorch implementation of Google's Gemma models
😎 Awesome lists about all kinds of interesting topics
A Matlab toolbox for denoising magnitude dMRI
The reference implementation for the Non Local Spatial and Angular Matching (NLSAM) denoising algorithm for diffusion MRI
DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical imag…
Graph Denoising Diffusion for Inverse Protein Folding(NeurIPS 2023)
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Adapting protein language models and contrastive learning for highly-accurate drug-target interaction prediction.