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