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Name: Nishath Rajiv Ranasinghe
Type: User
Company: Los Alamos National Laboratory
Location: Los Alamos, NM
Name: Nishath Rajiv Ranasinghe
Type: User
Company: Los Alamos National Laboratory
Location: Los Alamos, NM
explore DNNs via Infomration
Code used for information theory analysis of deep neural networks using matrix--based renyi's entropy and tensor kernels.
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
Flexible Framework for Parallel PDE Parameter Estimation in Julia
Official implementation for our paper "Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control"
This repository is for a research paper: "Data Imputation for Multivariate Time Series Sensor Data with Large Gaps of Missing Data"
[NeurIPS 2021 Spotlight] Official implementation of Long Short-Term Transformer for Online Action Detection
Code for our WRR paper "Toward Improved Predictions in Ungauged Basins: Exploiting the Power of Machine Learning"
Implementation for the paper "Compositional Attention Networks for Machine Reasoning" (Hudson and Manning, ICLR 2018)
Material Associated with the lecture Machine Learning in Geophysics
A set of Matlab functions that were used for the publications "Towards a theoretical foundation for morphological computation with compliant bodies" and " The role of feedback in morphological computation with compliant bodies"
Experiments with Mass Conserving LSTMs
Notebooks for "A high bias low-variance introduction to Machine Learning for physicists."
The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".
Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network
Code for simulation of early operational phase discharge from NEON
Python library to train neural networks with a strong focus on hydrological applications.
Code for "Machine-Learning Non-Conservative Dynamics for New-Physics Detection" (arXiv: 2106.00026)
A framework for blind denoising with self-supervision.
Gathers all of our ambient noise modules in python
OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
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.