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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
Predicting time series with a 2D convolution network
Automatic Differentiation Library for Computational and Mathematical Engineering
Additive Gaussian Process Bandits - version 1.0
Differentiable ray tracing through inhomogeneous media
Adaptive FNO transformer - official Pytorch implementation
Counting the number of conservation laws from trajectory data
The ARtillery Crater Analysis and Detection Engine (ARCADE) is an experimental computer vision application built using MATLAB. ARCADE scans satellite imagery for signs of artillery bombardment, geocodes artillery blast craters, and will ultimately calculate the inbound trajectory of projectiles.
:atom: The hackable text editor
detect demographic differences in the output of machine learning models or other assessments
API for interacting with ChatGPT and GPT4 using Python and from Shell.
NLP approach to Source Code Segmentation
Conditional RNNs for Tensorflow / Keras.
Open source lung ultrasound (LUS) data collection initiative for COVID-19.
Code for the paper "Deep learning of thermodynamics-aware reduced-order models from data" published in Computer Methods in Applied Mechanics and Engineering (CMAME).
Learning nonlinear operators via DeepONet
multi-agent deep reinforcement learning for large-scale traffic signal control.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Wave propagation modules for PyTorch.
Deep learning library for solving differential equations
10 differentiable physical simulators built with Taichi differentiable programming (DiffTaichi, ICLR 2020)
Digital twin for structural dynamics applications
Animation of the motion a double-pendulum. Both Julia and Python versions of the code are given.
What My Deep Model Doesn't Know...
DYNQUAL
EA-LSTM: Evolutionary attention-based LSTM for time series prediction
EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction
Accompanying code for our HESS paper "Towards learning universal, regional, and local hydrological behaviors via machine learning applied to large-sample datasets"
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.