Julian Späth (julianspaeth)

julianspaeth

Geek Repo

Company:@FeatureCloud

Location:Germany

Home Page:https://read.cv/spaethju

Twitter:@julian_spaeth

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Julian Späth's starred repositories

scikit-learn

scikit-learn: machine learning in Python

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insomnia

The open-source, cross-platform API client for GraphQL, REST, WebSockets, SSE and gRPC. With Cloud, Local and Git storage.

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poetry

Python packaging and dependency management made easy

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tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

mlflow

Open source platform for the machine learning lifecycle

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reflex

🕸️ Web apps in pure Python 🐍

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networkx

Network Analysis in Python

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neo4j

Graphs for Everyone

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cudf

cuDF - GPU DataFrame Library

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cuml

cuML - RAPIDS Machine Learning Library

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KeyDecoder

KeyDecoder app lets you use your smartphone or tablet to decode your mechanical keys in seconds.

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differential-privacy

Google's differential privacy libraries.

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pandas-datareader

Extract data from a wide range of Internet sources into a pandas DataFrame.

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ManimML

ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.

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sketch

AI code-writing assistant that understands data content

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TabPFN

Official implementation of the TabPFN paper (https://arxiv.org/abs/2207.01848) and the tabpfn package.

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graphein

Protein Graph Library

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deepscatter

Zoomable, animated scatterplots in the browser that scales over a billion points

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apptainer

Apptainer: Application containers for Linux

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concrete-ml

Concrete ML: Privacy Preserving ML framework built on top of Concrete, with bindings to traditional ML frameworks.

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skops

skops is a Python library helping you share your scikit-learn based models and put them in production

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biocypher

A unifying framework for biomedical research knowledge graphs

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btyd

Buy Till You Die and Customer Lifetime Value statistical models in Python.

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snappy

Helps you browse through and interpret your genotype data

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hyfed

The HyFed framework provides an easy-to-use API to develop federated, privacy-preserving machine learning algorithms.

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pai-pre-commit-hook

A pre-commit hook to check for PII in your code.

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Fred2

Python-based framework for computational immunomics

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