BioGeek

skyvern

Automate browser-based workflows with LLMs and Computer Vision

mistral-finetune

drl-zh

Deep Reinforcement Learning: Zero to Hero!

openllmetry

Open-source observability for your LLM application, based on OpenTelemetry

OrthoFinder

Phylogenetic orthology inference for comparative genomics

DataScience_Interactive_Python

Python interactive dashboards for learning data science

form-extractor-prototype

A prototype of a tool that generates web forms from document forms

biowasm

WebAssembly modules for genomics

MyVLM

Official Implementation for "MyVLM: Personalizing VLMs for User-Specific Queries"

gReLU

gReLU is a python library to train, interpret, and apply deep learning models to DNA sequences.

LucaOne

The LucaOne’s model code.

borzoi

RNA-seq prediction with deep convolutional neural networks.

blender_notebook

A simple command line tool to wrap blender 2.8+ as a jupyter kernel.

diffusion-visualizations

Visualizations of the theory behind diffusion models.

triton-index

Cataloging released Triton kernels.

ProtMamba-ssm

ProtMamba: a homology-aware but alignment-free protein state space model

complexity-scaling

gzip Predicts Data-dependent Scaling Laws

semantic-zotero

Plugin for zotero to retrieve reference data from Semantic Scholar API and add them to your library

zotero2SemanticScholar

Send zotero libraby to semantic scholar and add alert on them

BFN-Solver

Official PyTorch implementation for "Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations"

SaprotHub

SaprotHub: Making Protein Modeling Accessible to All Biologists

AutoPeptideML

AutoML system for building trustworthy peptide bioactivity predictors

Zyda_processing

DeepNGlyPred

DeepNGlyPred: a Deep Neural Network-based approach for human N-linked Glycosylation site prediction

DreaMS

DreaMS (Deep Representations Empowering the Annotation of Mass Spectra)

bayesian_statistics_for_computational_biology

A Bayesian statistics course for computational biologists

sitetack

AVIDa-SARS-CoV-2

Code for paper "A SARS-CoV-2 Interaction Dataset and VHH Sequence Corpus for Antibody Language Models"

MTL-peptide-property-prediction

All scripts to reproduce the results from the 'Machine learning strategies to tackle data challenges in mass spectrometry-based proteomics' study. Data and pretrained models are available at https://zenodo.org/doi/10.5281/zenodo.11084462

PowerNovo