- š Iām a Data Scientist and a Physics Ph.D.
- š± Iām always learning to learn from data, and also open for collaborations.
Below are some of my projects. I welcome any feedback/question.
Name: Rabindra Nepal
Type: User
Company: Johnson & Johnson
Bio: Data Scientist | Physics Ph.D.
Location: US
Below are some of my projects. I welcome any feedback/question.
GPU-accelerated micromagnetic simulator
OpenAI GPT-3 NLP task completion & Stable Diffusion Text2Image generator, before ChatGPT and DALL-E
Minimal examples of data structures and algorithms in Python
Implementation of different algorithms and solution to interesting problems.
Implementation of brute-force kNN classifier, testing kNN with wine dataset
creating mongoDB databases, playing with them with queries
Solutions of EulerProject problems!
Analysis, visualization and prediction model development of the Global Terrorism Database.
Exploration of kaggle House Price Data and building house price prediction models
scheduler to run GPU-accelerated mumax3 simulations in superconductors
Temporary image sources hosted to use for my online works
Neural network visualization toolkit for keras
Calculates magnon current with micromagnetics data!
A prediction model that predicts whether a Microsoft computer will be infected with malware or not.
Some introductory and interesting topics in machine learning and deep learning: EDA, HMM, kNN, linear regression, logistic regression, Naive Bayes Classifier, Support Vector Machines etc.
Implementation of Naive-Bayes Classifier and using it to identify spam emails from the email dataset.
Insight Data Engineering Project
Implementation of linear and logistic regression models using gradient descent algorithm
GNN, GCN, Molecular Solubility, RDKit, Cheminformatics
Superconductivity, Critical Temperature, High-Tc Superconductivity, Tc prediction with Machine Learning
Machine learning-based prediction models with time-series data (1. ECG Signal Classification)
kaggle-titanic: machine learning solution with tensorflow
Scraping tweets from twitter using Tweepy, collecting Trump tweets and analysis, creating a Twitter bot
vampire files: ensemble averaging and correlation calculations
plots magnetization vectors in a lattice from discrete data
A declarative, efficient, and flexible JavaScript library for building user interfaces.
š 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. ššš
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 ā¤ļø Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.