Implementation of Rank-biased Overlap

This is the official repository of Prot2Token paper.

S-PLM: Structure-aware Protein Language Model via Contrastive Learning between Sequence and Structure

Protein Graph Library

Reference mapping for single-cell genomics

Baby-DALL3: Annotation anything in visual tasks and Generate anything just all in one-pipeline with GPT-4 (a small baby of DALL·E 3).

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

A latent text-to-image diffusion model

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

Bayesian optimization of discrete sequences

Open source code for AlphaFold 2.

Interactive applications of stlearn

scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks

Single-cell analysis in Python. Scales to >1M cells.

A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!

Bayesian optimization in PyTorch

Learning to Rank in PyTorch

🤘 awesome-semantic-segmentation

The official implementation of the Molecule Attention Transformer.

End-to-End Object Detection with Transformers

Python package built to ease deep learning on graph, on top of existing DL frameworks.

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

Graph Neural Network Library for PyTorch