adriaan (lemontheme)

lemontheme

Geek Repo

Company:Klassif.ai

Location:Belgium

Twitter:@adrnlem

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adriaan's repositories

tdl-coloring

⚛ Atom package that adds simple support for TDL (Type Description Language) syntax as described in Copestake 2002

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allennlp

An open-source NLP research library, built on PyTorch.

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BentoML

Model Serving Made Easy

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CMTreeMiner_Unordered

an algorithm for mining closed and maximal frequent rooted unordered trees

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cookiecutter-nbdev-for-ml

🍪 Cookiecutter template to get started with fastai's nbdev on a typical ML project

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cv

My CV

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django-components

Create simple reusable template components in Django.

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pyfreqt

Python implementation of the FREQT algorithm for frequent subtree mining (Asai et al. 2001) inspired by Taku's C++ implementation (2003)

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sopredictable

🥱 Take the excitement out of persisting ML models for downstream prediction tasks

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spaCy

💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython

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trefwurd

🌿 [WIP] Fast and easy lemmatization for any inflecting language

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depicto-dutch

🗣 [In development] A DELPH-IN-based pictograph-to-text translation pipeline for use in assistive writing applications

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doots

∆ Dotfiles managed by dotbot

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gruvbox-intellij-theme

An IDE theme based on the gruvbox color scheme.

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kickstart.nvim

A launch point for your personal nvim configuration

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kitty

Cross-platform, fast, feature-rich, GPU based terminal

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mlflow

Open source platform for the machine learning lifecycle

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notebook

Jupyter Interactive Notebook

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pytext

A natural language modeling framework based on PyTorch

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python-fire

Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.

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ray

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

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rct

Creating cool coasters for Roller Coaster Tycoon

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snail

A PyTorch implementation of the blocks from the _A Simple Neural Attentive Meta-Learner_ paper

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text

Data loaders and abstractions for text and NLP

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