Thirunayan22

AdminLTE

AdminLTE - Free Premium Admin control Panel Theme Based On Bootstrap 3.x

AutoComments

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

awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

DeveloperIQ

A tool for calculating developer productivity using Github metrics

ESAD-Project

Ecommerce system for ESAD project

python_chat_app

A python chat app using multiple clients using sockets

rasa

💬 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

research-paper-implementations

Research paper implementations and model implementation for common identification and classification algorithms

stylegan

StyleGAN - Official TensorFlow Implementation

stylegan2

StyleGAN2 - Official TensorFlow Implementation

Thirunayan22/AutoComments

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

Thirunayan22/awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

Thirunayan22/DeveloperIQ

A tool for calculating developer productivity using Github metrics

Thirunayan22/ESAD-Project

Ecommerce system for ESAD project

Thirunayan22/python_chat_app

A python chat app using multiple clients using sockets

Thirunayan22/rasa

💬 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

Thirunayan22/research-paper-implementations

Research paper implementations and model implementation for common identification and classification algorithms

Thirunayan22/stylegan

StyleGAN - Official TensorFlow Implementation

Thirunayan22/stylegan2

StyleGAN2 - Official TensorFlow Implementation

Thirunayan22/ai-faqbot-who

Thirunayan22/awesome-machine-learning-on-source-code

Cool links & research papers related to Machine Learning applied to source code (MLonCode)

Thirunayan22/code2seq

PyTorch's implementation of the code2seq model.

Thirunayan22/code2seq-1

Code for the model presented in the paper: "code2seq: Generating Sequences from Structured Representations of Code"

Thirunayan22/devfest-2022-mri-dataset

MRI dataset used for the demo in devfest-2022

Thirunayan22/Django_CRM

A CRM developed in django

Thirunayan22/EMSE-DeepCom

The dataset for EMSE-DeepCom

Thirunayan22/Google-Dialogflow-chatbots

Thirunayan22/HealthChat

Android App

Thirunayan22/keras-english-resume-parser-and-analyzer

keras project that parses and analyze english resumes

Thirunayan22/models

Models and examples built with TensorFlow

Thirunayan22/PlotlyDash_Dashboard

Thirunayan22/PRSummarizer

Thirunayan22/PubLayNet

MaskRCNN on PubLayNet datasets. Paragraph detection, table detection, figure detection,...

Thirunayan22/pytorch-notebooks

Thirunayan22/rasa-chatbot

A recruitment chatbot that can continously retrain

Thirunayan22/rasa-continous-learning

A continous learning pipeline for a rasa chatbot

Thirunayan22/Sample-Proj

Thirunayan22/Sample-project

Thirunayan22/text_segmentation

Thirunayan22/unilm

UniLM - Unified Language Model Pre-training / Pre-training for NLP and Beyond