Dimitris (dsar)

dsar

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Location:Zurich

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Dimitris's starred repositories

ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

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luigi

Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

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ds-cheatsheets

List of Data Science Cheatsheets to rule the world

horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

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fashion-mnist

A MNIST-like fashion product database. Benchmark :point_down:

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optuna

A hyperparameter optimization framework

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docs

TensorFlow documentation

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dlaicourse

Notebooks for learning deep learning

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cuml

cuML - RAPIDS Machine Learning Library

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RecBole

A unified, comprehensive and efficient recommendation library

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daily-coding-problem

Solutions to problems sent by dailycodingproblem.com

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awesome-seml

A curated list of articles that cover the software engineering best practices for building machine learning applications.

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nbstripout

strip output from Jupyter and IPython notebooks

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SMAC3

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

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dask-ml

Scalable Machine Learning with Dask

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torpy

Pure python Tor client implementation

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lale

Library for Semi-Automated Data Science

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joblib-spark

Joblib Apache Spark Backend

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tabline.vim

Configure tabs within Terminal Vim

ConfigSpace

Domain specific language for configuration spaces in Python. Useful for hyperparameter optimization and algorithm configuration.

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Sublime-Wrap-Plus

Enhanced "wrap lines" command for Sublime Text 2 or 3.

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RecBole2.0

An up-to-date, comprehensive and flexible recommendation library

aaai-template

latex template for various conferences, as well as wise-man's overleaf (overleaf is terrible!)

RecBole-GNN

Efficient and extensible GNNs enhanced recommender library based on RecBole.

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oboe

An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.

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pgx-samples

Applications using Parallel Graph AnalytiX (PGX) from Oracle Labs

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CleanML

A Benchmark for Joint Data Cleaning and Machine Learning

CheatSheet

My cheat sheets.

xgboost

Scalable, Portable and Distributed Gradient Boosting

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Algorithm-Selection-for-Classification-Problems-via-Cluster-based-Meta-features

Algorithm Selection for Classification Problems via Cluster-based Meta-features (E-STaR 2017 and Continued Work)

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