code2015wang's repositories
tutorials
Just Announced - "Learn Spring Security OAuth":
Dockerfile-library
images
deeplearning-models
各种深度学习结构、模型和技巧的集合
TensorFlow-Course
Simple and ready-to-use tutorials for TensorFlow
tensorflow_practice
tensorflow实战练习,包括强化学习、推荐系统、nlp等
stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
nni
An open source AutoML toolkit for neural architecture search and hyper-parameter tuning.
MMdnn
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
algorithms
Minimal examples of data structures and algorithms in Python
java-design-patterns
Design patterns implemented in Java
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
free-programming-books-zh_CN
:books: 免费的计算机编程类中文书籍,欢迎投稿
Java
All Algorithms implemented in Java
Python
All Algorithms implemented in Python
python-patterns
A collection of design patterns/idioms in Python
java8-tutorial
Modern Java - A Guide to Java 8
SpringBoot-Learning
Spring Boot教程
springside4
A Spring Framework based, pragmatic style JavaEE application reference architecture.
pytorch-playground
Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
learnopencv
Learn OpenCV : C++ and Python Examples
awesome
:sunglasses: Curated list of awesome lists
interviews
Everything you need to know to get the job.
leetcode
LeetCode Problems' Solutions
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
Qix
Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang
data-science-ipython-notebooks
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
deep_recommend_system
Deep learning recommend system with TensorFlow
kdd-cup-99-spark
PySpark solution to the KDDCup99