Stars
Official implementation of paper "BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement".
A library for scientific machine learning and physics-informed learning
Physics Informed Neural Networks (PINNs) + SPINNs + HyperPINNs + Adaptative Loss Weights with JAX 📓 Check out our various notebooks to get started
Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"
Benchmark for bi-level optimization solvers
Bilevel Optimization Library in Python for Multi-Task and Meta Learning
Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting
Dynamic weight strategy of physics-informed neural networks for the 2D Navier-Stokes equations
An improved and generic PINNs for fluid dynamic analysis is proposed. This approach incorporates three key improvements: residual-based adaptive sampling, which automatically samples points in area…
Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.
PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.
A modern GUI client based on Tauri, designed to run in Windows, macOS and Linux for tailored proxy experience
Code examples in pyTorch and Tensorflow for CS230
SREX-GNN improves Genetic Optimization Algorithms by enabling an Graph Neural Network to select the correct "genes" to cross-over
A Library for Dynamic Graph Learning (NeurIPS 2023)
Inpaint anything using Segment Anything and inpainting models.
LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models (LLM-grounded Diffusion: LMD, TMLR 2024)
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
PyTorch implementation for DDPM & DDIM
This is a pytorch implementation of Denoising Diffusion Implicit Models
This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.
A library for automatically designing metaheuristic optimizers.
Diffusion model derived evolutionary algorithm
[NeurIPS 2024] ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution