BIGKnight

mamba

Mamba SSM architecture

NeuralPDE.jl

Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

Bi-level-PINN

inexact_dfo_bilevel_learning

Inexact Derivative-Free Optimization for Bilevel Learning

PINNacle

Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.

partial-differential-equations

Notes and examples on how to solve partial differential equations with numerical methods, using Python.

PhiFlow

A differentiable PDE solving framework for machine learning

mle_score_ode

Official code for "Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching" (ICML 2022)

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

Otter

🦦 Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruction-following and in-context learning ability.

variance_reduced_neural_networks

Implementation of SVRG and SAGA optimization algorithms for deep learning topics.

deepxde

A library for scientific machine learning and physics-informed learning

PINNs

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

L_inf-PINN

[NeurIPS 2022] Minimizing L_inf Physics-Informed Loss for PINN with adversarial training

score_sde

Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

r3_sampling_icml2023

Official Github Repository for paper "Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling" (accepted at ICML 2023)

GradientPathologiesPINNs

OFormer

PINN-without-Stacked-BP

The official implementation of Learning Physics-Informed Neural Networks without Stacked Back-propagation (AISTATS 2023).

AugmentedPINN

Code accompanying the manuscript "Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition methodology"

GodMode

AI Chat Browser: Fast, Full webapp access to ChatGPT / Claude / Bard / Bing / Llama2! I use this 20 times a day.

asymptotics-perturbation-methods

zotero-gpt

GPT Meet Zotero.

DomainBed

DomainBed is a suite to test domain generalization algorithms

prodigy

The Prodigy optimizer and its variants for training neural networks.

dadaptation

D-Adaptation for SGD, Adam and AdaGrad

PDEBench

PDEBench: An Extensive Benchmark for Scientific Machine Learning

tmux-config

Tmux configuration, that supercharges your tmux to build cozy and cool terminal environment

deq

[NeurIPS'19] Deep Equilibrium Models

google-research

Google Research