brucejunlee Goto Github PK

2018_subeesh_epsr_eccvw

Project page of the paper 'Analyzing Perception-Distortion Tradeoff using Enhanced Perceptual Super-resolution Network' (ECCVW 2018)

advanced-deep-learning-with-keras

Advanced Deep Learning with Keras, published by Packt

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

adversarial_autoencoder

A wizard's guide to Adversarial Autoencoders

adversarial_text

Code for Adversarial Training Methods for Semi-Supervised Text Classification

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

ali

Adversarially Learned Inference

awesome-chinese-nlp

A curated list of resources for Chinese NLP 中文自然语言处理相关资料

awesome-face_recognition

papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;

awesome_computer_vision

Awesome Computer Vision

began-tensorflow

Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"

brucejunlee.github.io

bwgan

Code for the paper "Banach Wasserstein GAN"

catgan_pytorch

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

chainer-lsgan

Least Squares Generative Adversarial Network implemented in Chainer

cogan

cogan-tensorflow

Implement Coupled Generative Adversarial Networks in Tensorflow

compare_gan

Compare GAN code.

conditional-gan

Tensorflow implementation for Conditional Convolutional Adversarial Networks.

csinva.github.io

Slides, paper notes, class notes, blog posts, and research on machine learning, statistics, and artificial intelligence.

cyclegan

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

d2l-zh

《动手学深度学习》，英文版即伯克利深度学习（STAT 157，2019春）教材。面向中文读者、能运行、可讨论。

data-driven-discretization-1d

Code for "Learning data-driven discretizations for partial differential equations"

data-driven-pdes

deep-learning-from-scratch

『ゼロから作る Deep Learning』のリポジトリ

deep-learning-notes

Experiments with Deep Learning

deephpms

Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations

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[email protected] 版权所有，违权必究 Tan 2018.06

deeplearning-models

A collection of various deep learning architectures, models, and tips

deepritzmethod

QMC sampling for deep ritz method