DanInci

langchain

🦜🔗 Build context-aware reasoning applications

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

Bend

A massively parallel, high-level programming language

unsloth

Finetune Llama 3.2, Mistral, Phi & Gemma LLMs 2-5x faster with 80% less memory

nn-zero-to-hero

Neural Networks: Zero to Hero

promptflow

Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.

scala-best-practices

A collection of Scala best practices

snakemake

This is the development home of the workflow management system Snakemake. For general information, see

energy-forecasting

🌀 𝗧𝗵𝗲 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝟳-𝗦𝘁𝗲𝗽𝘀 𝗠𝗟𝗢𝗽𝘀 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 | 𝗟𝗲𝗮𝗿𝗻 𝗠𝗟𝗘 & 𝗠𝗟𝗢𝗽𝘀 for free by designing, building and deploying an end-to-end ML batch system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 2.5 𝘩𝘰𝘶𝘳𝘴 𝘰𝘧 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 & 𝘷𝘪𝘥𝘦𝘰 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴

json-graph-specification

A proposal for representing graph structure (nodes / edges) in JSON.

contain-google

[Looking for maintainer] - Google Container isolates your Google activity from the rest of your web activity in order to prevent Google from tracking you outside of the Google website via third party cookies.

fgbio

Tools for working with genomic and high throughput sequencing data.

ethz_cs_summaries

Summaries / Cheat Sheets created at ETH Zurich BsC Computer Science & MsC Data Science

sopa

Technology-invariant pipeline for spatial omics analysis (Xenium / Visium HD / MERSCOPE / CosMx / PhenoCycler / MACSima / ...) that scales to millions of cells

ark-analysis

Integrated pipeline for multiplexed image analysis

rdf-delta

A system to propagate changes between RDF Datasets

epimetheus

An Afterthought of Prometheus

stellar

astir

astir | Automated cell identity from single-cell multiplexed imaging and proteomics 🖥🔬✨

gnomAD_DB

This package scales the huge gnomAD files to a SQLite database, which is easy and fast to query. It extracts from a gnomAD vcf the minor allele frequency for each variant.

MuVI

A multi-view latent variable model with domain-informed structured sparsity for integrating noisy feature sets.

CellSighter

CELESTA

Automate unsupervised machine learning cell type identification using both protein expressions and cell spatial neighborhood information for multiplexed in situ imaging data. No training dataset with cell type labels is required.

starling

Segmentation error aware clustering for multiplexed imaging

aestetik

AESTETIK: AutoEncoder for Spatial Transcriptomics Expression with Topology and Image Knowledge

sprout

Opaque type encoding for convenient new types, and boilerplate minimization of integration with 3rd party libraries like circe, http4s, doobie, skunk, etc.

prepy

A small library for generating prepared SQL statements based on case classes

snn_visual_cortex

Spiking Neural Network modelling the Visual Cortex (V1) Layer 5

eth_thesis_template

Thesis template for Department of Computer Science, ETH Zurich

Introduction_to_Machine_Learning

Repository of course ressources for Introduction to Machine Learning @ ETH Zurich