amazon 最近的时间轴更新 amazon 最近的时间轴更新amazon's repos on GitHub
JavaScript · 1 人关注
akihabara
A game engine for making classic arcade style games using Javascript and HTML5. We're starting moving on a re-organized repo here: https://github.com/akihabara
JavaScript · 1 人关注
akihabara-1
Akihabara framework
JavaScript · 1 人关注
aws-lib
Extensible Node.js library for the Amazon Web Services API
JavaScript · 1 人关注
backbone
Give your JS App some Backbone with Models, Views, Collections, and Events
JavaScript · 1 人关注
backbone-aura
Backbone.js integrated with AMD modules as well as the mediator & facade patterns
JavaScript · 1 人关注
bootstrap
HTML, CSS, and JS toolkit from Twitter
JavaScript · 1 人关注
ChesterGL
A simple webgl demo/library for 2D games
JavaScript · 1 人关注
content-aware-image-resizing
C · 1 人关注
emscripten
Emscripten: An LLVM-to-JavaScript Compiler
JavaScript · 1 人关注
express
Sinatra inspired web development framework for node.js -- insanely fast, flexible, and simple
JavaScript · 1 人关注
game-shim
Browser shims to normalize game-centric API
0 人关注
blog
Felix's Personal Blog Site
Jupyter Notebook · 0 人关注
clothing-recommender
ML
Python · 0 人关注
deep-fashion
Proposal a new method to retrieval clothing images
Python · 0 人关注
deep-fashion-retrieval
Simple image retrival on deep-fashion dataset with pytorch - A course project
C++ · 0 人关注
deepFashion
Python · 0 人关注
DeepRecommender
Deep learning for recommender systems
JavaScript · 0 人关注
fancyInput
Makes typing in input fields fun with CSS3 effects
0 人关注
fashion-200k
Fashion 200K dataset used in paper "Automatic Spatially-aware Fashion Concept Discovery."
Matlab · 0 人关注
fashion-detection
Fashion Detection in the Wild (Deep Clothes Detector)
Python · 0 人关注
fashion-generator
In-browser GPU-accelerated Generative Adversarial Network trained on Fashion-MNIST dataset (tensorflow + deeplearn.js)
Matlab · 0 人关注
fashion-landmarks
Fashion Landmark Detection in the Wild
Python · 0 人关注
FashionAI_Tianchi_2018
FashionAI Global Challenge—Attributes Recognition of Apparel—Ranked 21st solution.
Jupyter Notebook · 0 人关注
FashionNet
Fashion recommender system using deep learning
Jupyter Notebook · 0 人关注
fashionNet-1
Keras implementation of fashionNet architecture
Python · 0 人关注
fashion_dataset
Python · 0 人关注
fk-visual-search
Flipkart's visual search and recommendation system
ActionScript · 0 人关注
flashls
HLS Flash Plugin/Player (Chromeless,OSMF,FlowPlayer)
Jupyter Notebook · 0 人关注
Gluon-FashionAI-Attributes
Python · 0 人关注
GRU4Rec_TensorFlow
TensorFlow implemenation of GRu4Rec model
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amazonV2EX 第 21565 号会员，加入于 2012-05-28 18:45:16 +08:00 |
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| 招聘 方向 AWS + Video Streaming Amazon Web Services • amazon • 2012-05-28 18:50:39 PM • 最后回复来自 amazon | 6 |
amazon 最近回复了
2012-05-31 10:28:02 +08:00 回复了 amazon 创建的主题 › Amazon Web Services › 招聘 方向 AWS + Video Streaming |
@number5 是的,已经找过Amazon的员工了解情况,多谢资料.
2012-05-31 10:26:52 +08:00 回复了 amazon 创建的主题 › Amazon Web Services › 招聘 方向 AWS + Video Streaming |
@imstand 除了这些问题,还有一个问题是将原来私有协议的streaming系统怎么改造成服务AWS的工作方式,涉及到一些权衡.
另外,除了核心的AWS功能,类似Netflix的circuit breaker dashboard这种设计上的改变和一些服务发现功能作为auto scaling的补充也很重要.
另外,除了核心的AWS功能,类似Netflix的circuit breaker dashboard这种设计上的改变和一些服务发现功能作为auto scaling的补充也很重要.
2012-05-29 11:18:46 +08:00 回复了 kernel1983 创建的主题 › Amazon Web Services › 上周去了AWS办公室, 和那边的技术沟通了一下 |
我记得是有UI的，但对于运维来说API可能才更“人性化”。有机会当然用AutoScaling啊，这个才是AWS的价值。
2012-05-29 11:15:10 +08:00 回复了 amazon 创建的主题 › Amazon Web Services › 招聘 方向 AWS + Video Streaming |
因为我们本身除了Web之外还有很多streaming的需求，在选择上需要根据数据量，性能，价格，维护性，扩展性上做权衡。我们也看了一些案例，主要是Netflix，但是感觉还是要实际去做才能找到合适的方向。
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