A python project made to generate code using either OpenAI's codex or GPT-J (Although not as good as codex)

Related tags

Text Data & NLPCodeJ
Overview

CodeJ

A python project made to generate code using either OpenAI's codex or GPT-J (Although not as good as codex)

Install requirements

pip install -r requirements.txt

Gpt-J

first set everything up (Note: you can change the temperature to a higher value for more creative results)

from CodeJ import GenerationJ

lang = "Python"
temperature = 0.6
top_p = 1.0
J = GenerationJ("file_name")

Now call the method to generate text

J.generate("Python", temperature, top_p, "Make a square", "Make a triangle using turtle")

For Both the gptj and codex version you can pass as many prompts as you want

Codex

from CodeJ import Generation3

temperature = 0.3
gpt3 = Generation3("file_name", "Replace with your API key")
gpt3.generation("Python", 0.416, "Make a square using the turtle module", "Add take the power of numbers in an array", "Print CodeJ is awesome")

Supported Languages

Languages = ["MATLAB", "Julia", "C#", "Python", "Python3", "C++", "Q#", "F#", "JavaScript", "Kotlin", "Dart", "Java", "C", "CSS", "HTML"]

Resources

Sign up for an api-key here https://beta.openai.com/signup Use the free Gpt-J version if you want as well

Owner
TheProtagonist
New developer who is excited to learn new things.
TheProtagonist
1 Jun 28, 2022
Semantic search for quotes.

squote A semantic search engine that takes some input text and returns some (questionably) relevant (questionably) famous quotes. Built with: bert-as-

cjwallace 11 Jun 25, 2022
Ask for weather information like a human

weather-nlp About Ask for weather information like a human. Goals Understand typical questions like: Hourly temperatures in Potsdam on 2020-09-15. Rai

5 Oct 29, 2022
Biterm Topic Model (BTM): modeling topics in short texts

Biterm Topic Model Bitermplus implements Biterm topic model for short texts introduced by Xiaohui Yan, Jiafeng Guo, Yanyan Lan, and Xueqi Cheng. Actua

Maksim Terpilowski 49 Dec 30, 2022
ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab

AliceMind AliceMind: ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab This repository provides pre-trained encode

Alibaba 1.4k Jan 04, 2023
A fast and lightweight python-based CTC beam search decoder for speech recognition.

pyctcdecode A fast and feature-rich CTC beam search decoder for speech recognition written in Python, providing n-gram (kenlm) language model support

Kensho 315 Dec 21, 2022
A PyTorch implementation of paper "Learning Shared Semantic Space for Speech-to-Text Translation", ACL (Findings) 2021

Chimera: Learning Shared Semantic Space for Speech-to-Text Translation This is a Pytorch implementation for the "Chimera" paper Learning Shared Semant

Chi Han 43 Dec 28, 2022
使用pytorch+transformers复现了SimCSE论文中的有监督训练和无监督训练方法

SimCSE复现 项目描述 SimCSE是一种简单但是很巧妙的NLP对比学习方法,创新性地引入Dropout的方式,对样本添加噪声,从而达到对正样本增强的目的。 该框架的训练目的为:对于batch中的每个样本,拉近其与正样本之间的距离,拉远其与负样本之间的距离,使得模型能够在大规模无监督语料(也可以

58 Dec 20, 2022
多语言降噪预训练模型MBart的中文生成任务

mbart-chinese 基于mbart-large-cc25 的中文生成任务 Input source input: text + /s + lang_code target input: lang_code + text + /s Usage token_ids_mapping.jso

11 Sep 19, 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

Jason 1 Nov 11, 2021
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP

TextAttack 🐙 Generating adversarial examples for NLP models [TextAttack Documentation on ReadTheDocs] About • Setup • Usage • Design About TextAttack

QData 2.2k Jan 03, 2023
Resources for "Natural Language Processing" Coursera course.

Natural Language Processing course resources This github contains practical assignments for Natural Language Processing course by Higher School of Eco

Advanced Machine Learning specialisation by HSE 1.1k Jan 01, 2023
WIT (Wikipedia-based Image Text) Dataset is a large multimodal multilingual dataset comprising 37M+ image-text sets with 11M+ unique images across 100+ languages.

WIT (Wikipedia-based Image Text) Dataset is a large multimodal multilingual dataset comprising 37M+ image-text sets with 11M+ unique images across 100+ languages.

Google Research Datasets 740 Dec 24, 2022
Comprehensive-E2E-TTS - PyTorch Implementation

A Non-Autoregressive End-to-End Text-to-Speech (text-to-wav), supporting a family of SOTA unsupervised duration modelings. This project grows with the research community, aiming to achieve the ultima

Keon Lee 114 Nov 13, 2022
Tensorflow Implementation of A Generative Flow for Text-to-Speech via Monotonic Alignment Search

Tensorflow Implementation of A Generative Flow for Text-to-Speech via Monotonic Alignment Search

Ankur Dhuriya 10 Oct 13, 2022
Semantic search through a vectorized Wikipedia (SentenceBERT) with the Weaviate vector search engine

Semantic search through Wikipedia with the Weaviate vector search engine Weaviate is an open source vector search engine with build-in vectorization a

SeMI Technologies 191 Dec 26, 2022
An implementation of the Pay Attention when Required transformer

Pay Attention when Required (PAR) Transformer-XL An implementation of the Pay Attention when Required transformer from the paper: https://arxiv.org/pd

7 Aug 11, 2022
TruthfulQA: Measuring How Models Imitate Human Falsehoods

TruthfulQA: Measuring How Models Imitate Human Falsehoods

69 Dec 25, 2022
A very simple framework for state-of-the-art Natural Language Processing (NLP)

A very simple framework for state-of-the-art NLP. Developed by Humboldt University of Berlin and friends. Flair is: A powerful NLP library. Flair allo

flair 12.3k Jan 02, 2023