scatsoulis

scatsoulis's Stars

• ikespand/awesome-machine-learning-fluid-mechanics

  Curated list for ML in FM

  17644

• neuraloperator/neuraloperator

  Learning in infinite dimension with neural operators.

  Language:Python2k533

• daytonaio/daytona

  The Open Source Dev Environment Manager.

  Language:Go8.1k766

• python-poetry/poetry

  Python packaging and dependency management made easy

  Language:Python31.1k2.3k

• NeuroDiffGym/neurodiffeq

  A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.

  Language:Python68689

• google-research/weatherbench2

  A benchmark for the next generation of data-driven global weather models.

  Language:Python40941

• darothen/ai-models-for-all

  Run AI NWP forecasts hassle-free, serverless in the cloud!

  Language:Python1048

• sktime/pytorch-forecasting

  Time series forecasting with PyTorch

  Language:Python3.9k612

• wassname/attentive-neural-processes

  implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)

  Language:Jupyter Notebook8823

• SciML/NeuralOperators.jl

  DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia

  Language:Julia26441

• cselab/odil

  Language:Python515

• googleinterns/invobs-data-assimilation

  Language:Jupyter Notebook326

• NVIDIA/modulus-makani

  Massively parallel training of machine-learning based weather and climate models

  Language:Python22233

• skorch-dev/skorch

  A scikit-learn compatible neural network library that wraps PyTorch

  Language:Jupyter Notebook5.8k388

• mikekeith52/scalecast

  The practitioner's forecasting library

  Language:Python33340

• helblazer811/ManimML

  ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.

  Language:Python2.3k140

• thuml/Time-Series-Library

  A Library for Advanced Deep Time Series Models.

  Language:Python6.4k1k

• serge-sans-paille/pythran

  Ahead of Time compiler for numeric kernels

  Language:C++2k192

• SymbolicML/DynamicQuantities.jl

  Efficient and type-stable physical quantities in Julia

  Language:Julia13216

• ray-project/ray

  Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

  Language:Python33.1k5.6k

• Zymrael/awesome-neural-ode

  A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.

  1.3k146

• divelab/AIRS

  Artificial Intelligence Research for Science (AIRS)

  Language:Python49058

• NVlabs/AFNO-transformer

  Adaptive FNO transformer - official Pytorch implementation

  Language:Python21021

• neuraloperator/graph-pde

  Using graph network to solve PDEs

  Language:Python32782

• google/jax-cfd

  Computational Fluid Dynamics in JAX

  Language:Jupyter Notebook720100

• alshedivat/al-folio

  A beautiful, simple, clean, and responsive Jekyll theme for academics

  Language:HTML10.6k10.9k

• mitmath/18S096

  18.S096 three-week course at MIT

  Language:Jupyter Notebook25953

• JuliaAcademy/Introduction-to-Julia

  Learn the language basics in this 10-part course.

  Language:Jupyter Notebook397318

• Ceyron/machine-learning-and-simulation

  All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.com/channel/UCh0P7KwJhuQ4vrzc3IRuw4Q)

  Language:Jupyter Notebook829177

• microsoft/vscode-tips-and-tricks

  Collection of helpful tips and tricks for VS Code.

  9.1k704