平凉信息港

当前位置:

資源Github上Top10Machin

2019/05/01 来源:平凉信息港

导读

全球人工智能文章来源:GitHub1、tensorflow/tensorflowIntroductionComputatio

全球人工智能

文章来源:GitHub

1、tensorflow/tensorflow

Introduction

Computation using data flow graphs for scalable machine learning

GitHub资源:

2、josephmisiti/awesome-machine-learning

Introduction

A curated list of awesome Machine Learning frameworks, libraries and software.

GitHub资源:

3、scikit-learn/scikit-learn

Introduction

scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.

GitHub资源:

4、fchollet/keras

Introduction

Keras is a high-level neural networks API, written in Python and capable of running on top of either TensorFlow or Theano. It was developed with a focus on enabling fast experimentation. Being able to go from idea to result with the least possible delay is key to doing good research.

GitHub资源:

5、ZuzooVn/machine-learning-for-software-engineers

Introduction

A complete daily plan for studying to become a machine learning engineer.

GitHub资源:

6、apache/incubator-predictionio

Introduction

Apache PredictionIO (incubating) is an open source machine learning framework for developers, data scientists, and end users. It supports event collection, deployment of algorithms, evaluation, querying predictive results via REST APIs. It is based on scalable open source services like Hadoop, HBase (and other DBs), Elasticsearch, Spark and implements what is called a Lambda Architecture.

GitHub资源:

7、aymericdamien/TensorFlow-Examples

Introduction

TensorFlow Tutorial and Examples for beginners

GitHub资源:

8、terryum/awesome-deep-learning-papers

Introduction

The most cited deep learning papers

GitHub资源:

9、Developer-Y/cs-video-courses

Introduction

List of Computer Science courses with video lectures.

GitHub资源:

10、dmlc/mxnet

Introduction

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Java and more

GitHub资源:

AIJob社是《全球人工智能》旗下专门为AI开发工程师免费服务的求职平台。我们将竭尽全力帮助每个ai工程师对接自己喜欢的企业,推荐给你喜欢的直接领导,帮你谈一个的薪资待遇,和你一起解决你工作中遇到的问题和困惑——努力成为你的“私人职业助理”。

我们的联系方式:[仅限ai人材]

1、AI开发工程师简历发:hr@

简历名称格式:城市-姓名-岗位(如:深圳-李某某-数据挖掘)

2、AI企业人才招聘合作发:job@

合作名称格式:城市-企业名-岗位数(如:北京-北大-5个岗位)

热门文章推荐

重磅|中国这家2000亿市值的低调AI公司 年收入320亿,你知道吗?

重磅|谷歌发布 ogle 开源站 全面开放谷歌资源

重磅|IEEE:以色列Eyesight-Tech提供CV安全副驾降低交通事故死亡率

重磅|中国军用机器人曝光,负重160千克狂奔两小时 !(附视频)

重磅|痛失吴恩达后 百度在硅谷建第二家人工智能研发机构欲再招150名AI科学家!

重磅|IEEE发布了的世界机器人视频集锦,不看你会后悔

|2017年全球top50机器人公司,大疆仅排第⑨名!

|Yann LeCun昨天在清华都讲了什么?(附精彩视频)

重磅|百度AI负责人吴恩达(Andrew Ng)宣布将从百度辞职

Google发布Distill平台:欲搭建机器态系统

外交官逃避违规停车罚款引比利时不满
林志颖带老婆深夜看电影手拉手很有爱
日本推出全球迷你手机仅一块饼干大
标签