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allantools

Allan deviation and related time & frequency statistics library in Python

awesome-aitools

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

awesome-chatgpt-prompts-zh

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。

chatpaper

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

convolutional-lstm-in-tensorflow

An implementation of convolutional lstms in tensorflow. The code is written in the same style as the basiclstmcell function in tensorflow

dapper

Data Assimilation with Python: a Package for Experimental Research

dcgan-lsgan-wgan-gp-dragan-tensorflow-2

DCGAN LSGAN WGAN-GP DRAGAN Tensorflow 2

dcgan_wgan_wgan-gp_lsgan_sngan_rsgan_began_acgan_pggan_tensorflow

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

deep-belief-network

A Python implementation of Deep Belief Networks built upon NumPy and TensorFlow with scikit-learn compatibility

esrgan

ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution (Third Region)

gan

some demo of GANs

image-super-resolution

🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

improved_wgan_training

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

kalman-and-bayesian-filters-in-python

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 filters, and more. All exercises include solutions.

keras-gan

Keras implementations of Generative Adversarial Networks.

keras-srgan

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

modifiedsrcnn

The original codes comes from: https://github.com/qobilidop/srcnn.

oucml

pinn

Physics-informed neural networks package

pinns

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

pygpc

A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method

pysebal_dev

Python implementation of SEBAL

python_tool

easy tools

rs-data-fusion

Deep Convolutional SpatioTemporal Fusion Network (DCSTFN)

sce_ua

sce_ua

srcnn

A course project on convolutional neural networks for single image super-resolution

srgan_wasserstein

Apply Waseerstein GAN into SRGAN, a deep learning super resolution model

the-gan-zoo

A list of all named GANs!

wgan-gp-tensorflow

TensorFlow implementations of Wasserstein GAN with Gradient Penalty (WGAN-GP), Least Squares GAN (LSGAN), GANs with the hinge loss.