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/

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Code for the paper PermuteFormer

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Code for the paper "A Simple but Tough-to-Beat Baseline for Sentence Embeddings".

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Deep learning for NLP crash course at ABBYY.

Deep NLP Course at ABBYY Deep learning for NLP crash course at ABBYY. Suggested textbook: Neural Network Methods in Natural Language Processing by Yoa

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BERTAC (BERT-style transformer-based language model with Adversarially pretrained Convolutional neural network)

BERTAC (BERT-style transformer-based language model with Adversarially pretrained Convolutional neural network) BERTAC is a framework that combines a

6 Jan 24, 2022

Search-Engine - 📖 AI based search engine

Search Engine AI based search engine that was trained on 25000 samples, feel free to train on up to 1.2M sample from kaggle dataset, link below StackS

2 Nov 29, 2022

The simple project to separate mixed voice (2 clean voices) to 2 separate voices.

Speech Separation The simple project to separate mixed voice (2 clean voices) to 2 separate voices. Result Example (Clisk to hear the voices): mix ||

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HAN2HAN : Hangul Font Generation

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Code for text augmentation method leveraging large-scale language models

HyperMix Code for our paper GPT3Mix and conducting classification experiments using GPT-3 prompt-based data augmentation. Getting Started Installing P

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LSTC: Boosting Atomic Action Detection with Long-Short-Term Context

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SEJE is a prototype for the paper Learning Text-Image Joint Embedding for Efficient Cross-Modal Retrieval with Deep Feature Engineering.

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Mkdocs + material + cool stuff

Related tags

Overview

Modern-Python-Doc-Example

Features

Getting Started

Owner

Francesco Saverio Zuppichini

Code for producing Japanese GPT-2 provided by rinna Co., Ltd.

Code for the paper PermuteFormer

Code for the paper "A Simple but Tough-to-Beat Baseline for Sentence Embeddings".

Deep learning for NLP crash course at ABBYY.

BERTAC (BERT-style transformer-based language model with Adversarially pretrained Convolutional neural network)

Search-Engine - 📖 AI based search engine

The simple project to separate mixed voice (2 clean voices) to 2 separate voices.

HAN2HAN : Hangul Font Generation

Code for text augmentation method leveraging large-scale language models

LSTC: Boosting Atomic Action Detection with Long-Short-Term Context

SEJE is a prototype for the paper Learning Text-Image Joint Embedding for Efficient Cross-Modal Retrieval with Deep Feature Engineering.

Index different CKAN entities in Solr, not just datasets

Precision Medicine Knowledge Graph (PrimeKG)

本插件是pcrjjc插件的重置版，可以独立于后端api运行

This is a simple item2vec implementation using gensim for recbole

ChessCoach is a neural network-based chess engine capable of natural-language commentary.

Paddlespeech Streaming ASR GUI

Text vectorization tool to outperform TFIDF for classification tasks

NLP made easy

Open-World Entity Segmentation