kulkarnihrishikesh Goto Github PK
Name: Hrishikesh Kulkarni
Type: User
Company: Tata Consultancy Services
Bio: Scientific ML Researcher
Location: Pune
Name: Hrishikesh Kulkarni
Type: User
Company: Tata Consultancy Services
Bio: Scientific ML Researcher
Location: Pune
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
Bootcamp notebooks
An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators.
18.085 Gilbert Strang Computational Science and Engineering
Code and written solutions of the assignments of the Stanford CS224N: Natural Language Processing with Deep Learning course from winter 2022/2023
This repository contains implementations and illustrative code to accompany DeepMind publications
ETH Zürich Deep Learning in Scientific Computing Master's course 2023
Project using deep learning to model thermal storage for solar panels
This repository contains the machine learning projects completed for the class "Deep Learning in Scientific Computing" taught at ETH jointly by Siddhartha Mishra and Benjamin Moseley in Spring 2024. The description of the tasks can be found in the PDFs.
Repository for the Deep Learning in Scientific Computing course offered in Spring 2022 at ETH Zürich: Deep learning project with the aim of studying the preliminary design of a thermal energy storage.
Deep reinforcement learning with OpenFOAM
Geometry-Aware Fourier Neural Operator (Geo-FNO)
This project shows how to use the gradient of flow variables as a criteria to control Adaptive Mesh Refinement (AMR) for OpenFOAM simulations.
Using graph network to solve PDEs
Thoughts about ML committee for OpenFOAM
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics
A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.
Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data
PDEBench: An Extensive Benchmark for Scientific Machine Learning
MNA_course
Source code for "Probabilistic neural networks for fluid flow model-order reduction and data recovery"
Deep learning for Engineers - Physics Informed Deep Learning
A place to share problems solved with SciANN
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
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.