Popular GitHub Repositories for Heat Transport

POT : Python Optimal Transport

TorchCFM: a Conditional Flow Matching library

Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.

[NeurIPS 2024] GaussianCube: A Structured and Explicit Radiance Representation for 3D Generative Modeling

Pretrained universal neural network potential for charge-informed atomistic modeling https://chgnet.lbl.gov

Neural Light Transport for Relighting and View Synthesis

PyTorch implementation of "Neural Optimal Transport" (ICLR 2023 Spotlight)

A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".

[CVPR 2022 Oral] Marginal Correspondence for Conditional Image Generation, [CVPR 2021] Unbalanced Feature Transport for Exemplar-based Image Translation

[ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models

MCPOmni Connect is a versatile command-line interface (CLI) client designed to connect to various Model Context Protocol (MCP) servers using both stdio and sse transport. It provides seamless integration with OpenAI models and all other LLM and supports dynamic tool and resource management across multiple servers.

A Physics-Informed Neural Network to solve 2D steady-state heat equations.

Play, learn, solve, and analyze No-Limit Texas Hold Em. Implementation follows from Monte Carlo counter-factual regret minimization over with hierarchical K-means imperfect recall abstractions.

Neural Architecture Search with Bayesian Optimisation and Optimal Transport

Implementation of the Sliced Wasserstein Autoencoder using PyTorch

PyTorch implementation of slicing adversarial network (SAN)

Анализ трафика на круговом движении с использованием компьютерного зрения

Async transport layers for MCP

The official repository for the paper "Optimal Flow Matching: Learning Straight Trajectories in Just One Step" (NeurIPS 2024)

Regression Graph Neural Network (regGNN) for cognitive score prediction.