Pytorch Implementation of Interaction Networks for Learning about Objects, Relations and Physics

Kolmogorov Arnold Networks

This work develops a foundation model for generic chemical reactor modeling (meta-learning using Reptile), enabling few-shot adaptation to unseen reactions (physics-informed adaptation).

PDEBench: An Extensive Benchmark for Scientific Machine Learning

An easy to use PyTorch implementation of the Kolmogorov Arnold Network and a few novel variations

This work proposes an Input Convex LSTM neural network for real-time optimization.

Python sample codes for robotics algorithms.

😎 A curated list of robotics libraries and software

IEEE Robot Automation Letter

TorchOpt is an efficient library for differentiable optimization built upon PyTorch.

《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版

我的超迷你机械臂机器人项目。

Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative ski…

COCO API - Dataset @ http:https://cocodataset.org/

OpenMMLab Detection Toolbox and Benchmark

FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)