[NeurIPS 2024] Implementation of "Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification"

Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.

Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 2, and other large language models.

DIA-NN - a universal automated software suite for DIA proteomics data analysis.

The official sources for the RDKit library

Quickly rewrite git repository history (filter-branch replacement)

Network Analysis in Python

GRAPH Interaction from pathway Topological Environment

ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.

Comprehensive Python client for the Uniprot REST API

Python composable command line interface toolkit

Typer, build great CLIs. Easy to code. Based on Python type hints.

scikit-learn classes for molecular vectorization using RDKit

A R package to add on to {gtsummary} baseline tables: add SMDs (for any number of groups and for any variable type) & round counts to avoid microdata

Kyoto Encylopedia of Genes and Genomes (KEGG) NetworkX Topological parser automates downloading, parsing, and converting from a KEGG Markup Language File to a TSV file that is usable in network ana…

Get protein embeddings from protein sequences

Modelling the Language of Life - Deep Learning Protein Sequences

Disable temporal dithering on your Mac with this lightweight menu bar app. Designed for Apple silicon Macs.

Implementation of Graph Auto-Encoders in TensorFlow

GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

Deep universal probabilistic programming with Python and PyTorch

Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch

MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in biomedical applications.

Visual Studio Code

Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.