Starred repositories
Use ChatGPT to summarize the arXiv papers. 全流程加速科研,利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复
Collection of AI-related utilities. Welcome to submit issues and pull requests /收藏AI相关的实用工具,欢迎提交issues 或者pull requests
ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。
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Data Assimilation with Python: a Package for Experimental Research
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
My blogs and code for machine learning. http://cnblogs.com/pinard
A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method
wjswjx / Keras-SRGAN
Forked from deepak112/Keras-SRGANPhoto-Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras
wjswjx / DCGAN_WGAN_WGAN-GP_LSGAN_SNGAN_RSGAN_BEGAN_ACGAN_PGGAN_TensorFlow
Forked from MingtaoGuo/DCGAN_WGAN_WGAN-GP_LSGAN_SNGAN_RSGAN_BEGAN_ACGAN_PGGAN_TensorFlowImplementation of some different variants of GANs by tensorflow, Train the GAN in Google Cloud Colab, DCGAN, WGAN, WGAN-GP, LSGAN, SNGAN, RSGAN, RaSGAN, BEGAN, ACGAN, PGGAN, pix2pix, BigGAN
Implementation of some different variants of GANs by tensorflow, Train the GAN in Google Cloud Colab, DCGAN, WGAN, WGAN-GP, LSGAN, SNGAN, RSGAN, RaSGAN, BEGAN, ACGAN, PGGAN, pix2pix, BigGAN
Multi-layer convolutional LSTM with Pytorch
Multi-fidelity modeling using Gaussian processes and nonlinear auto-regressive schemes.
Parametric Gaussian Process Regression for Big Data