Piousur

Piousur's Stars

• yvenn-amara/ev-load-open-data

  Language:R126

• pg2455/KAN-Tutorial

  Understanding Kolmogorov-Arnold Networks: A Tutorial Series on KAN using Toy Examples

  Language:Jupyter Notebook17314

• IvanDrokin/torch-conv-kan

  This project is dedicated to the implementation and research of Kolmogorov-Arnold convolutional networks. The repository includes implementations of 1D, 2D, and 3D convolutions with different kernels, ResNet-like and DenseNet-like models, training code based on accelerate/PyTorch, as well as scripts for experiments with CIFAR-10 and Tiny ImageNet.

  Language:Python44934

• mintisan/awesome-kan

  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 Network field.

  2.7k244

• ZiyaoLi/fast-kan

  FastKAN: Very Fast Implementation of Kolmogorov-Arnold Networks (KAN)

  Language:Jupyter Notebook37349

• SynodicMonth/ChebyKAN

  Kolmogorov-Arnold Networks (KAN) using Chebyshev polynomials instead of B-splines.

  Language:Jupyter Notebook35637

• GistNoesis/FourierKAN

  Language:Python71459

• Indoxer/LKAN

  Variations of Kolmogorov-Arnold Networks

  Language:Python11211

• KindXiaoming/pykan

  Kolmogorov Arnold Networks

  Language:Jupyter Notebook15.3k1.4k

• Blealtan/efficient-kan

  An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

  Language:Python4.2k368

• msu-coinlab/pymoo

  NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO

  18

• binary-husky/gpt_academic

  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, moss等。

  Language:Python66.6k8.2k

• OpenGSL/OpenGSL

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• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python57.4k5.9k

• thu-ml/tianshou

  An elegant PyTorch deep reinforcement learning library.

  Language:Python8.1k1.1k

• daili0015/ModelFeast

  Pytorch model zoo for human, include all kinds of 2D CNN, 3D CNN, and CRNN

  Language:Python15539

• scutan90/DeepLearning-500-questions

  深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

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