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100-days-of-ml-code

100-Days-Of-ML-Code中文版

3d-digital-rock-reconstruction

This is the code for our paper '3D carbonate digital rock reconstruction using PG-GAN' submitted to JGR. The code is modified from the original PG-GAN code by Karras et al. (2017) (https://github.com/tkarras/progressive_growing_of_gans).

3d-recgan-extended

3D-RecGAN++ in Tensorflow (TPAMI 2018)

absolute_permeability_simulations

ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

ar-pde-cnn

Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs

attention-pytorch

注意力机制实践

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

baidu-wenku-download

下载百度文库文档

baiduwenkuspider

实现对百度文库文档以pdf形式原格式下载

bloodflowold

Palabos + LAMMPS + SENSEI Integration

caffe-windows

Configure Caffe in one hour for Windows users.

cdcgan-mnist

This Repository contain an IPython notebook of an example implementation of conditional Deep Convolutional Generative Adversarial Networks or cDCGAN or DC cGAN using Tensorflow.Keras Funtional API.

cisgan

cnn_pde_solver

controlling-generative-models-with-continuous-factors-of-variations

Recent deep generative models are able to provide photo-realistic images as well as visual or textual content embeddings useful to address various tasks of computer vision and natural language processing. Their usefulness is nevertheless often limited by the lack of control over the generative process or the poor understanding of the learned repres

cvae-gan-zoos-pytorch-beginner

For beginner, this will be the best start for VAEs, GANs, and CVAE-GAN. This contains AE, DAE, VAE, GAN, CGAN, DCGAN, WGAN, WGAN-GP, VAE-GAN, CVAE-GAN. All use PyTorch.

cwgan-gp

A keras implementation of conditional wgan-gp

cwgans

Conditional Wasserstein GANs

cyclegan-tensorflow

Tensorflow implementation for learning an image-to-image translation without input-output pairs. https://arxiv.org/pdf/1703.10593.pdf

d2q9_zero_for_loop

A Lattice-Boltzmann Method (LBM) based Python code for solving 2D lid driven cavity flow

dae-pinns

discrete PINNs

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

dcscn-super-resolution

A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Super-Resolution (SISR) model.

deep-learning-with-tensorflow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

deepangle

Fast calculation of contact angles in tomography images using deep learning

deepin-wine

【deepin源移植】Debian/Ubuntu上最快的QQ/微信安装方式

deeplearningpractice

about deep learning projects

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

deepore

Deep learning for rapid characterization of porous materials