Name: Charles Njelita, PhD.
Type: User
Company: TCS
Bio: Over 20 year experience in Information Technology (IT) industry as a Data Analytics Specialist. Received a PhD in Business Analytics & Decision Sciences.
Location: Washington, DC Metro
Blog: https://www.linkedin.com/in/charlesnjelita
Charles Njelita, PhD.'s Projects
A very brief introduction to Natural Language Processing programming in Python
An open-source NLP research library, built on PyTorch.
Code for "AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling"
ArcGIS Editor for OpenStreetMap is a toolset for GIS users to access and contribute to OpenStreetMap through their Desktop or Server environment.
This project analyzes and visualizes the Used Car Prices from the Automobile dataset in order to predict the most probable car price
A curated list of awesome Python frameworks, libraries, software and resources
😀😄😂😭 A curated list of Sentiment Analysis methods, implementations and misc. 😥😟😱😤
Search with BERT vectors in Solr and Elasticsearch
Read-only mirror of https://gerrit.hyperledger.org/r/#/admin/projects/blockchain-explorer
The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.
Common Alerting Protocol Library
Repository for Meta Chameleon, a mixed-modal early-fusion foundation model from FAIR.
The Open Source Java API for CityGML
Official reinforcement learning environment for demand response and load shaping
Creativity Inspired Zero-Shot Learning
Contrastive Language-Image Pretraining
Config files for my GitHub profile.
Composer is a framework for building Blockchain business networks
An Extensible Continual Learning Framework Focused on Language Models (LMs)
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
An ongoing repository of data on coronavirus cases and deaths in the U.S.
The repository contains an ongoing collection of tweets IDs associated with the novel coronavirus COVID-19 (SARS-CoV-2), which commenced on January 28, 2020.
Jupyter notebooks that analyze COVID-19 time series data
Projections of COVID-19, in standardized format
Code for modelling estimated deaths and cases for COVID19.
Bayesian modelling tutorial based on rethinking and greta 🥚