Karlson Pfannschmidt (kiudee)

kiudee

Geek Repo

Company:Paderborn University

Location:Paderborn, Germany

Home Page:kpfann.me

Twitter:@karlsonp

Github PK Tool:Github PK Tool


Organizations
Intelligent-Systems-Group
LeelaChessZero

Karlson Pfannschmidt's repositories

cs-ranking

Context-sensitive ranking and choice in Python with PyTorch

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chess-tuning-tools

A collection of scripts aimed at efficiently tuning chess engine parameters.

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bayes-skopt

A fully Bayesian implementation of sequential model-based optimization

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lc0

The rewritten engine, originally for tensorflow. Now all other backends have been ported here.

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scikit-optimize

Sequential model-based optimization with a `scipy.optimize` interface

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a0lite

A neural net chess engine in 95 lines of python

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abp-simulation-code

Simulation environment for the aggregated bandits problem.

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arxiv-style

A Latex style and template for paper preprints (based on NIPS style)

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cutechess

Cute Chess is a graphical user interface, command-line interface and a library for playing chess.

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fastapi

FastAPI framework, high performance, easy to learn, fast to code, ready for production

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GPflow

Gaussian processes in TensorFlow

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GPro

Python package for Preference Learning with Gaussian Processes.

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lc0crawl

A simple crawler to extract LCZero opening preferences

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lczero-common

data shared between repos

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lczero-training

For code etc relating to the network training process.

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leela-chess

A chess adaption of GCP's Leela Zero

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py_experimenter

The PyExperimenter is a tool for the automatic execution of experiments, e.g. for machine learning (ML), capturing corresponding results in a unified manner in a database.

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pymc

PyMC version 3 (PyMC 2 is in branch 2.3)

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readthedocs.org

The source code that powers readthedocs.org

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scientific-visualization-book

An open access book on scientific visualization using python and matplotlib

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scikit-learn

scikit-learn: machine learning in Python

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shap

A game theoretic approach to explain the output of any machine learning model.

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sweetviz

Visualize and compare datasets, target values and associations, with one line of code.

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tensorflow

Computation using data flow graphs for scalable machine learning

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XMLC

Extreme Classification

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