Ajay Kumar's Projects
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
Offline Text To Speech synthesis for python
This is a flutter based quiz app that tests your general knowledge. As one of the most popular types of apps on the app stores, you can create your own quiz for other people to enjoy!
A tool for analyzing RAS protein structures
Responsive Portfolio Website Using HTML, CSS & JavaScript
Resumes generated using the GitHub informations
The communications platform that puts data protection first.
Raspberry Pi Power Monitor
Build your own SaaS business with SaaS boilerplate. Productive stack: React, Material-UI, Next, MobX, WebSockets, Express, Node, Mongoose, MongoDB. Written with TypeScript.
Python client for the Twitter 'search Tweets' and 'count Tweets' endpoints (v2/Labs/premium/enterprise). Now supports Twitter API v2 /recent and /all search endpoints.
The Udacity open source self-driving car project
:mortar_board:RESEARCH [NLP :thought_balloon:] We use different feature sets and machine learning classifiers to determine the best combination for sentiment analysis of twitter.
Just a really simple, insecure and incomplete implementation of a blockchain for a cryptocurrency made in Python as educational material. In other words, a simple Bitcoin clone.
š Load Monitoring and Energy Disaggregation on a RasPi
A Python library to help monitor solar charge controllers typically used in off the grid applications.
The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)
Speech recognition module for Python, supporting several engines and APIs, online and offline.
Spotify_Deezer_WEB_API_WEB_Scraping
A streamlit component for bi-directional communication with bokeh plots.
Tacotron 2 - PyTorch implementation with faster-than-realtime inference
Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.
For learning .
Convert images to computer generated art using delaunay triangulation.
My first experience with building and deploying a simple twitter bot.
Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.
University Course Management