A set of notebooks to accelerate converting SAS code to Pyspark and SparkSQL for business users

Databricks SDK for Python (Beta)

n8n hosted as Databricks Apps

A unifying representation of single cell expression profiles that quantifies similarity between expression states and generalizes to represent new studies without additional training.

NuInsSeg: A Fully Annotated Dataset for Nuclei Instance Segmentation in H&E-Stained Histological Images

Learn OpenCV : C++ and Python Examples

This repo will have the code for agent based hackathon using langchain tools

Source code 3D population density map of Germany, with ETL and app logic on top the Databricks Platform.

Functional Embedding of Gene Signatures

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

This repository contains implementations and illustrative code to accompany DeepMind publications

TensorFlow code and pre-trained models for BERT

Integrative approach for detecting membrane proteins

Implementation of Protein Classification based on subcellular localization using ProtBert(Rostlab/prot_bert_bfd_localization) model from Hugging Face library, based on BERT model trained on large c…

a deep learning model to classify ion channels and ion transporters from membrane proteins by using Pretrained Language Models

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.

[IMAVIS] Official implementation of "ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance Segmentation".

Deep probabilistic analysis of single-cell and spatial omics data

Nice easy ootb examples that are tested daily via Databricks jobs.

DocLayNet: A Large Human-Annotated Dataset for Document-Layout Analysis

LlamaIndex is the leading framework for building LLM-powered agents over your data.

Build resilient language agents as graphs.

An interactive structure/property explorer for materials and molecules

A collection of resources for Deep Learning in Python for Life Sciences (with focus on biotech and pharma).