Mkdocs + material + cool stuff

Last update: Oct 26, 2022

Overview

Modern-Python-Doc-Example

mkdocs + material + cool stuff

Doc is live here

Features

out of the box amazing good looking website thanks to mkdocs.org and mkdocs-material
a wide array of cool features, such as code highlight, admonition, latex rendering and more thanks to pymdown
FastApi cool terminal rendering
auto documentation for code thanks to mkdocstrings
automatic build thanks to github action, see the CI/CD page

Getting Started

Head over the Getting Started guide.

Owner

Francesco Saverio Zuppichini

Computer Vision Engineer @ 🤗 BSc informatics. MSc AI. Artificial Intelligence /Deep Learning Enthusiast & Full Stack developer

GitHub Repository https://francescosaveriozuppichini.github.io/Modern-Python-Doc-Example/

Conditional probing: measuring usable information beyond a baseline

20 Dec 15, 2022

State-of-the-art NLP through transformer models in a modular design and consistent APIs.

Trapper (Transformers wRAPPER) Trapper is an NLP library that aims to make it easier to train transformer based models on downstream tasks. It wraps h

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DeBERTa: Decoding-enhanced BERT with Disentangled Attention

DeBERTa: Decoding-enhanced BERT with Disentangled Attention This repository is the official implementation of DeBERTa: Decoding-enhanced BERT with Dis

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In this workshop we will be exploring NLP state of the art transformers, with SOTA models like T5 and BERT, then build a model using HugginFace transformers framework.

Transformers are all you need In this workshop we will be exploring NLP state of the art transformers, with SOTA models like T5 and BERT, then build a

8 Apr 13, 2022

NeurIPS'21: Probabilistic Margins for Instance Reweighting in Adversarial Training (Pytorch implementation).

source code for NeurIPS21 paper robabilistic Margins for Instance Reweighting in Adversarial Training

9 Dec 20, 2022

NLP Text Classification

多标签文本分类任务近年来随着深度学习的发展，模型参数的数量飞速增长。为了训练这些参数，需要更大的数据集来避免过拟合。然而，对于大部分NLP任务来说，构建大规模的标注数据集非常困难（成本过高），特别是对于句法和语义相关的任务。相比之下，大规模的未标注语料库的构建则相对容易。为了利用这些数据，我们可以

1 Nov 11, 2021

GCRC: A Gaokao Chinese Reading Comprehension dataset for interpretable Evaluation

GCRC GCRC: A New Challenging MRC Dataset from Gaokao Chinese for Explainable Eva

5 Nov 04, 2022

SAINT PyTorch implementation

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63 Dec 25, 2022

自然言語で書かれた時間情報表現を抽出/規格化するルールベースの解析器

ja-timex 自然言語で書かれた時間情報表現を抽出/規格化するルールベースの解析器概要 ja-timex は、現代日本語で書かれた自然文に含まれる時間情報表現を抽出しTIMEX3と呼ばれるアノテーション仕様に変換することで、プログラムが利用できるような形に規格化するルールベースの解析器です。

116 Nov 09, 2022

texlive expressions for documents

tex2nix Generate Texlive environment containing all dependencies for your document rather than downloading gigabytes of texlive packages. Installation

70 Dec 26, 2022

Analyse japanese ebooks using MeCab to determine the difficulty level for japanese learners

japanese-ebook-analysis This aim of this project is to make analysing the contents of a japanese ebook easy and streamline the process for non-technic

14 Jul 23, 2022

Official source for spanish Language Models and resources made @ BSC-TEMU within the "Plan de las Tecnologías del Lenguaje" (Plan-TL).

Spanish Language Models 💃🏻 A repository part of the MarIA project. Corpora 📃 Corpora Number of documents Number of tokens Size (GB) BNE 201,080,084

203 Dec 20, 2022

Mkdocs + material + cool stuff

Related tags

Overview

Modern-Python-Doc-Example

Features

Getting Started

Owner

Francesco Saverio Zuppichini

Conditional probing: measuring usable information beyond a baseline

State-of-the-art NLP through transformer models in a modular design and consistent APIs.

DeBERTa: Decoding-enhanced BERT with Disentangled Attention

In this workshop we will be exploring NLP state of the art transformers, with SOTA models like T5 and BERT, then build a model using HugginFace transformers framework.

NeurIPS'21: Probabilistic Margins for Instance Reweighting in Adversarial Training (Pytorch implementation).

NLP Text Classification

GCRC: A Gaokao Chinese Reading Comprehension dataset for interpretable Evaluation

SAINT PyTorch implementation

自然言語で書かれた時間情報表現を抽出/規格化するルールベースの解析器

texlive expressions for documents

Analyse japanese ebooks using MeCab to determine the difficulty level for japanese learners

Official source for spanish Language Models and resources made @ BSC-TEMU within the "Plan de las Tecnologías del Lenguaje" (Plan-TL).

Research code for ECCV 2020 paper "UNITER: UNiversal Image-TExt Representation Learning"

Galois is an auto code completer for code editors (or any text editor) based on OpenAI GPT-2.

A Semi-Intelligent ChatBot filled with statistical and economical data for the Premier League.

Universal End2End Training Platform, including pre-training, classification tasks, machine translation, and etc.

Officile code repository for "A Game-Theoretic Perspective on Risk-Sensitive Reinforcement Learning"

Application for shadowing Chinese.

Sequence model architectures from scratch in PyTorch

Generating new names based on trends in data using GPT2 (Transformer network)