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The PyTorch implementation of Generative Pre-trained Transformers (GPTs) using Kolmogorov-Arnold Networks (KANs) for language modeling
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold N…
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
Implementation of "TransPolymer: a Transformer-based language model for polymer property predictions" in PyTorch
3D CNN to predict single-phase flow velocity fields
The MultiScale Network for hierarchical regression (MS-Net) performs 3D regression based on a hierarchical principle: coarse inputs provide broad information about the data, and progressively finer…
[NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning
3D Convolutional Neural Network (CNN) for volumetric inputs. Matlab framework supporting 2D and 3D kernels
Volumetric CNN for feature extraction and object classification on 3D data.
Materials representation plays a key role in machine learning based prediction of materials properties and new materials discovery. Currently both graph and 3D voxel representation methods are base…
Phase Field coupled with crystal plasticity. Based on the Moose framework
Crystal plasticity finite element code, VUMAT file for Abaqus
PRISMS Crystal Plasticity and Continuum Plasticity FEM code
为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…