Converts python code into c++ by using OpenAI CODEX.

Overview

🦾 codex_py2cpp 🤖

OpenAI Codex Python to C++ Code Generator

Your Python Code is too slow? 🐌 You want to speed it up but forgot how to code in C++? Convert your Python script to C++ Code using OpenAI Codex.

How it works

Reads a Python file and creates an input prompt which is then fed to OpenAI Codex to generate corresponding C++ code. The generated code is getting compiled using g++ and if compilation is successful the executable is saved.

To generate your own files you need to get access to the Codex API (https://openai.com/blog/openai-codex/).

Installation

git clone https://github.com/alxschwrz/codex_py2cpp.git
cd codex_py2cpp
pip3 install -r requirements.txt

Run example

Reads the file "simpleScript.py", and feeds the corresponding input prompt to OpenAI Codex. Compilable solutions are stored in the form of .cpp and .exe files.

python3 python2cppconverter.py

If the generated C++ code got compiled, test it with

./simpleScript.exe

You hopefully get the same output as when running

python3 simpleScript.py

Check how much faster you are now ...

time ./simpleScript.exe
time python3 simpleScript.py

Example Code Generation:

[In]: Python Snippet [Out]: How the CODEX conversion might look like
def add_something(x, y):
    print("casually adding some stuff together")
    z = x + y
    return z


if __name__ == "__main__":
    print('Okay, lets go')
    print(add_something(5, 2))
// C++ Code generated from Python Code: 
#include <iostream>
using namespace std;

int add_something(int x, int y) {
    cout << "casually adding some stuff together" << endl;
    int z = x + y;
    return z;
}

int main() {
    cout << "Okay, lets go" << endl;
    cout << add_something(5, 2) << endl;
    return 0;
}

Please test your generated code before usage. This does not produce robust code conversions, but is intended to experiment with codex. [WIP]

Credits

This project is based on the OpenAI Codex project. Inspired by https://github.com/tom-doerr

Owner
Alexander
M.Sc. Candidate Robotics, Cognition, Intelligence, TUM
Alexander
AI_Assistant - This is a Python based Voice Assistant.

This is a Python based Voice Assistant. This was programmed to increase my understanding of python and also how the in-general Voice Assistants work.

1 Jan 06, 2022
Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.

anaGo anaGo is a Python library for sequence labeling(NER, PoS Tagging,...), implemented in Keras. anaGo can solve sequence labeling tasks such as nam

Hiroki Nakayama 1.5k Dec 05, 2022
An assignment from my grad-level data mining course demonstrating some experience with NLP/neural networks/Pytorch

NLP-Pytorch-Assignment An assignment from my grad-level data mining course (before I started personal projects) demonstrating some experience with NLP

David Thorne 0 Feb 06, 2022
An ultra fast tiny model for lane detection, using onnx_parser, TensorRTAPI, torch2trt to accelerate. our model support for int8, dynamic input and profiling. (Nvidia-Alibaba-TensoRT-hackathon2021)

Ultra_Fast_Lane_Detection_TensorRT An ultra fast tiny model for lane detection, using onnx_parser, TensorRTAPI to accelerate. our model support for in

steven.yan 121 Dec 27, 2022
Train and use generative text models in a few lines of code.

blather Train and use generative text models in a few lines of code. To see blather in action check out the colab notebook! Installation Use the packa

Dan Carroll 16 Nov 07, 2022
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

Rasa Open Source Rasa is an open source machine learning framework to automate text-and voice-based conversations. With Rasa, you can build contextual

Rasa 15.3k Dec 30, 2022
GPT-3: Language Models are Few-Shot Learners

GPT-3: Language Models are Few-Shot Learners arXiv link Recent work has demonstrated substantial gains on many NLP tasks and benchmarks by pre-trainin

OpenAI 12.5k Jan 05, 2023
🗣️ NALP is a library that covers Natural Adversarial Language Processing.

NALP: Natural Adversarial Language Processing Welcome to NALP. Have you ever wanted to create natural text from raw sources? If yes, NALP is for you!

Gustavo Rosa 21 Aug 12, 2022
Machine Psychology: Python Generated Art

Machine Psychology: Python Generated Art A limited collection of 64 algorithmically generated artwork. Each unique piece is then given a title by the

Pixegami Team 67 Dec 13, 2022
A paper list of pre-trained language models (PLMs).

Large-scale pre-trained language models (PLMs) such as BERT and GPT have achieved great success and become a milestone in NLP.

RUCAIBox 124 Jan 02, 2023
Chinese NER with albert/electra or other bert descendable model (keras)

Chinese NLP (albert/electra with Keras) Named Entity Recognization Project Structure ./ ├── NER │   ├── __init__.py │   ├── log

2 Nov 20, 2022
My Implementation for the paper EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks using Tensorflow

Easy Data Augmentation Implementation This repository contains my Implementation for the paper EDA: Easy Data Augmentation Techniques for Boosting Per

Aflah 9 Oct 31, 2022
Programme de chiffrement et de déchiffrement inverse d'un message en python3.

Chiffrement Inverse En Python3 Programme de chiffrement et de déchiffrement inverse d'un message en python3. Explication du chiffrement inverse avec c

Malik Makkes 2 Mar 26, 2022
Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.

TextBlob: Simplified Text Processing Homepage: https://textblob.readthedocs.io/ TextBlob is a Python (2 and 3) library for processing textual data. It

Steven Loria 8.4k Dec 26, 2022
This is the offline-training-pipeline for our project.

offline-training-pipeline This is the offline-training-pipeline for our project. We adopt the offline training and online prediction Machine Learning

0 Apr 22, 2022
A raytrace framework using taichi language

ti-raytrace The code use Taichi programming language Current implement acceleration lvbh disney brdf How to run First config your anaconda workspace,

蕉太狼 73 Dec 11, 2022
Cải thiện Elasticsearch trong bài toán semantic search sử dụng phương pháp Sentence Embeddings

Cải thiện Elasticsearch trong bài toán semantic search sử dụng phương pháp Sentence Embeddings Trong bài viết này mình sẽ sử dụng pretrain model SimCS

Vo Van Phuc 18 Nov 25, 2022
Code for "Generating Disentangled Arguments with Prompts: a Simple Event Extraction Framework that Works"

GDAP The code of paper "Code for "Generating Disentangled Arguments with Prompts: a Simple Event Extraction Framework that Works"" Event Datasets Prep

45 Oct 29, 2022
This is a simple item2vec implementation using gensim for recbole

recbole-item2vec-model This is a simple item2vec implementation using gensim for recbole( https://recbole.io ) Usage When you want to run experiment f

Yusuke Fukasawa 2 Oct 06, 2022
Universal End2End Training Platform, including pre-training, classification tasks, machine translation, and etc.

背景 安装教程 快速上手 (一)预训练模型 (二)机器翻译 (三)文本分类 TenTrans 进阶 1. 多语言机器翻译 2. 跨语言预训练 背景 TrenTrans是一个统一的端到端的多语言多任务预训练平台,支持多种预训练方式,以及序列生成和自然语言理解任务。 安装教程 git clone git

Tencent Minority-Mandarin Translation Team 42 Dec 20, 2022