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Name: Thiru Dinesh
Type: User
Company: Rootcode Labs
Bio: Head of AI @rootcodelabs. In love with making machines intelligent.
Twitter: Thirunayan
Name: Thiru Dinesh
Type: User
Company: Rootcode Labs
Bio: Head of AI @rootcodelabs. In love with making machines intelligent.
Twitter: Thirunayan
AdminLTE - Free Premium Admin control Panel Theme Based On Bootstrap 3.x
Description: We want to create a deep Neural Network that can automatically generate comments for code snippets passed to it. The motivation behind this is that in software development and maintenance, developers spend around 59% of their time on program comprehension activities. Having comments that are generated automatically will hopefully cut this time down. In order to do this we will combine the recent paper Code2Vec: Learning Distributed Representations of Code by Alon et al. with the paper Deep Code Comment Generation in order to make a better performing model using the newer Code2Vec encoding that was not used in the Deep Code Comment Generation paper. Dataset: The dataset that we will use is the same dataset used by the Deep Code Comment Generation paper, this is a dataset of more than 500,000 code snippets including comments. This also gives us a baseline against which to compare. Papers: Deep Code: https://xin-xia.github.io/publication/icpc182.pdf Code2Vec: https://arxiv.org/abs/1803.09473
Cool links & research papers related to Machine Learning applied to source code (MLonCode)
Reading list for research topics in multimodal machine learning
PyTorch's implementation of the code2seq model.
Code for the model presented in the paper: "code2seq: Generating Sequences from Structured Representations of Code"
CoRCoD: Code Runtime Complexity Dataset
This directory contains a collection of files of Curriculum Vitae. The most of the files are downloaded from some random websites.
An FPS game controller that uses webcam and deep learning to play games
Deep learning driven jazz generation using Keras & Theano!
A tool for calculating developer productivity using Github metrics
MRI dataset used for the demo in devfest-2022
A CRM developed in django
The dataset for EMSE-DeepCom
Ecommerce system for ESAD project
Android App
keras project that parses and analyze english resumes
Models and examples built with TensorFlow
MaskRCNN on PubLayNet datasets. Paragraph detection, table detection, figure detection,...
Simple Secure and Lightweight Service Registry in pure Python
A python chat app using multiple clients using sockets
💬 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
A recruitment chatbot that can continously retrain
A continous learning pipeline for a rasa chatbot
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.