Code Generation using a large neural network called GPT-J

Overview

CodeGenX


CodeGenX is a Code Generation system powered by Artificial Intelligence! It is delivered to you in the form of a Visual Studio Code Extension and is Free and Open-source!


Installation

You can find installation instructions and additional information about CodeGenX in the documentation here.


About CodeGenX

1. Languages Supported

CodeGenX currently only supports Python. We are planning to add additional languages in future releases.

2. Modules Trained On

CodeGenX was trained on Python code which covers many of its common uses. Some libraries which CodeGenX is specifically trained on are:

  1. Tensorflow
  2. Pytorch
  3. Scikit-Learn
  4. Pandas
  5. NumPy
  6. OpenCV
  7. Django
  8. Flask
  9. PyGame

3. How CodeGenX Works

At the core of CodeGenX lies a large neural network called GPT-J. GPT-J is a 6 billion parameter transformer model which was trained on hundreds of gigabytes of text from the internet. We fine-tuned this model on a dataset of open-source python code. This fine-tuned model can now be used to generate code when given an input with the right instructions.


Contributors

This project would not have been possible without the help of these wonderful people:



Arya Manjaramkar

Matthias Wijnsma


Thomas Houtrique


Dominic Rampas

Bilel Medimegh

Josh Hills

Alex

Tiimo

Acknowledgements

Many thanks to the support of the Google TPU Research Cloud for providing the precious compute needed for this project.

Owner
DeepGenX
DeepGenX
2021海华AI挑战赛·中文阅读理解·技术组·第三名

文字是人类用以记录和表达的最基本工具,也是信息传播的重要媒介。透过文字与符号,我们可以追寻人类文明的起源,可以传播知识与经验,读懂文字是认识与了解的第一步。对于人工智能而言,它的核心问题之一就是认知,而认知的核心则是语义理解。

21 Dec 26, 2022
NLPIR tutorial: pretrain for IR. pre-train on raw textual corpus, fine-tune on MS MARCO Document Ranking

pretrain4ir_tutorial NLPIR tutorial: pretrain for IR. pre-train on raw textual corpus, fine-tune on MS MARCO Document Ranking 用作NLPIR实验室, Pre-training

ZYMa 12 Apr 07, 2022
📜 GPT-2 Rhyming Limerick and Haiku models using data augmentation

Well-formed Limericks and Haikus with GPT2 📜 GPT-2 Rhyming Limerick and Haiku models using data augmentation In collaboration with Matthew Korahais &

Bardia Shahrestani 2 May 26, 2022
Mastering Transformers, published by Packt

Mastering Transformers This is the code repository for Mastering Transformers, published by Packt. Build state-of-the-art models from scratch with adv

Packt 195 Jan 01, 2023
MPNet: Masked and Permuted Pre-training for Language Understanding

MPNet MPNet: Masked and Permuted Pre-training for Language Understanding, by Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, Tie-Yan Liu, is a novel pre-tr

Microsoft 228 Nov 21, 2022
PyTorch Implementation of the paper Single Image Texture Translation for Data Augmentation

SITT The repo contains official PyTorch Implementation of the paper Single Image Texture Translation for Data Augmentation. Authors: Boyi Li Yin Cui T

Boyi Li 52 Jan 05, 2023
Twitter Sentiment Analysis using #tag, words and username

Twitter Sentment Analysis Web App using #tag, words and username to fetch data finds Insides of data and Tells Sentiment of the perticular #tag, words or username.

Kumar Saksham 26 Dec 25, 2022
Concept Modeling: Topic Modeling on Images and Text

Concept is a technique that leverages CLIP and BERTopic-based techniques to perform Concept Modeling on images.

Maarten Grootendorst 120 Dec 27, 2022
Python3 to Crystal Translation using Python AST Walker

py2cr.py A code translator using AST from Python to Crystal. This is basically a NodeVisitor with Crystal output. See AST documentation (https://docs.

66 Jul 25, 2022
Part of Speech Tagging using Hidden Markov Model (HMM) POS Tagger and Brill Tagger

Part of Speech Tagging using Hidden Markov Model (HMM) POS Tagger and Brill Tagger In this project, our aim is to tune, compare, and contrast the perf

Chirag Daryani 0 Dec 25, 2021
🦅 Pretrained BigBird Model for Korean (up to 4096 tokens)

Pretrained BigBird Model for Korean What is BigBird • How to Use • Pretraining • Evaluation Result • Docs • Citation 한국어 | English What is BigBird? Bi

Jangwon Park 183 Dec 14, 2022
An A-SOUL Text Generator Based on CPM-Distill.

ASOUL-Generator-Backend 本项目为 https://asoul.infedg.xyz/ 的后端。 模型为基于 CPM-Distill 的 transformers 转化版本 CPM-Generate-distill 训练而成。

infinityedge 46 Dec 11, 2022
Library for Russian imprecise rhymes generation

TOM RHYMER Library for Russian imprecise rhymes generation. Quick Start Generate rhymes by any given rhyme scheme (aabb, abab, aaccbb, etc ...): from

Alexey Karnachev 6 Oct 18, 2022
Repository to hold code for the cap-bot varient that is being presented at the SIIC Defence Hackathon 2021.

capbot-siic Repository to hold code for the cap-bot varient that is being presented at the SIIC Defence Hackathon 2021. Problem Inspiration A plethora

Aryan Kargwal 19 Feb 17, 2022
A collection of Korean Text Datasets ready to use using Tensorflow-Datasets.

tfds-korean A collection of Korean Text Datasets ready to use using Tensorflow-Datasets. TensorFlow-Datasets를 이용한 한국어/한글 데이터셋 모음입니다. Dataset Catalog |

Jeong Ukjae 20 Jul 11, 2022
Différents programmes créant une interface graphique a l'aide de Tkinter pour simplifier la vie des étudiants.

GP211-Grand-Projet Ce repertoire contient tout les programmes nécessaires au bon fonctionnement de notre projet-logiciel. Cette interface graphique es

1 Dec 21, 2021
Shared code for training sentence embeddings with Flax / JAX

flax-sentence-embeddings This repository will be used to share code for the Flax / JAX community event to train sentence embeddings on 1B+ training pa

Nils Reimers 23 Dec 30, 2022
topic modeling on unstructured data in Space news articles retrieved from the Guardian (UK) newspaper using API

NLP Space News Topic Modeling Photos by nasa.gov (1, 2, 3, 4, 5) and extremetech.com Table of Contents Project Idea Data acquisition Primary data sour

edesz 1 Jan 03, 2022
Transformer training code for sequential tasks

Sequential Transformer This is a code for training Transformers on sequential tasks such as language modeling. Unlike the original Transformer archite

Meta Research 578 Dec 13, 2022
Python Implementation of ``Modeling the Influence of Verb Aspect on the Activation of Typical Event Locations with BERT'' (Findings of ACL: ACL 2021)

BERT-for-Surprisal Python Implementation of ``Modeling the Influence of Verb Aspect on the Activation of Typical Event Locations with BERT'' (Findings

7 Dec 05, 2022