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.

This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven patterns and reusable blueprints for re…

Segment Anything in Medical Images

Genome modeling and design across all domains of life

PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

Mastering Applied AI, One Concept at a Time

Biological foundation modeling from molecular to genome scale

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.

Therapeutics Commons (TDC): Multimodal Foundation for Therapeutic Science

Foundation Models for Genomics & Transcriptomics

Autonomously train research-agent LLMs on custom data using reinforcement learning and self-verification.

Diffusion models of protein structure; trigonometry and attention are all you need!

MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation

Original implementation of the paper "SMILES Transformer: Pre-trained Molecular Fingerprint for Low Data Drug Discovery" by Shion Honda et al.

Nature Methods: RNA foundation model (together with RhoFold)

BioReason: Incentivizing Multimodal Biological Reasoning within a DNA-LLM Model

Genomic Pre-trained Network

Bilingual Language Model for Protein Sequence and Structure

Huggingface compatible implementation of RetNet (Retentive Networks, https://arxiv.org/pdf/2307.08621.pdf) including parallel, recurrent, and chunkwise forward.

Fitness landscape exploration sandbox for biological sequence design.

Multimodal deep learning model for long-term cancer survival prediction

CNN, RNN, and Bayesian NN classification for ECG time-series (using TensorFlow in Swift and Python)

ICLR'24 | BioBridge: Bridging Biomedical Foundation Models via Knowledge Graphs

[NeurIPS 2023] Factorized Contrastive Learning: Going Beyond Multi-view Redundancy

Generating and scoring novel enzyme sequences with a variety of models and metrics

Additional code and analysis from the single-cell integration benchmarking project