zlpsls Goto Github PK

enas

TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"

fucking-algorithm

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

fucking-algorithm-book

《labuladong的算法小抄》顺序阅读版

gan-timeline

A timeline showing the development of Generative Adversarial Networks (GAN).

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

gradient_regularized_gan

Code for "Gradient descent GAN optimization is locally stable"

hello-world

image-segmentation

improved-gan

code for the paper "Improved Techniques for Training GANs"

improved_wgan_training

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

intellij-idea-tutorial

IntelliJ IDEA 简体中文专题教程

interview_python

关于Python的面试题

java-interview

「Java面试小抄」一份通向理想互联网公司的面试汇总，包括 Java基础、Java并发、JVM、MySQL、Redis、Spring、MyBatis、Kafka、计算机操作系统、计算机网络、系统设计、分布式、Java 项目实战等

javafamily

【Java面试+Java学习指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。

javaguide

A core knowledge that most Java programmers need to master

keras-adversarial

Keras Generative Adversarial Networks

keras-gan

Keras implementations of Generative Adversarial Networks.

kerasnotebook

Keras 快速上手——基于 Python 的深度学习实战

leetcode

Algorithms Exercise: LeetCode Problems, LeetCode Weekly Contest etc.

leetcode-go

✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解

lstm-human-activity-recognition

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN (Deep Learning algo). Classifying the type of movement amongst six activity categories - Guillaume Chevalier

machine-learning-articles

Monthly Series - Top 10 Machine Learning Articles

mlss2018-madrid-gan

MLSS 2018 Madrid lecture materials on Generative Adversarial Networks (GANs)

models

Models and examples built with TensorFlow

morvanzhou.github.io

莫烦Python Website source code

nips14-ssl

Code for reproducing results of NIPS 2014 paper "Semi-Supervised Learning with Deep Generative Models"

pose-gan

progressive_growing_of_gans

Progressive Growing of GANs for Improved Quality, Stability, and Variation

pycadl

Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"

python-web-guide

python-web入坑指南