README.md 6.8 KB
Newer Older
1
<p align="center">
D
Dong Daxiang 已提交
2
<img align="center" src="doc/imgs/logo.png", width=1600>
1
123malin 已提交
3 4 5
<p>
    
--------------------------------------------------------------------------------
Z
zhangjinchao01 已提交
6

C
Cheerego 已提交
7
English | [简体中文](./README_cn.md)
G
gangliao 已提交
8

G
gangliao 已提交
9
[![Build Status](https://travis-ci.org/PaddlePaddle/Paddle.svg?branch=develop)](https://travis-ci.org/PaddlePaddle/Paddle)
C
Chen Long 已提交
10 11
[![Documentation Status](https://img.shields.io/badge/docs-latest-brightgreen.svg?style=flat)](https://paddlepaddle.org.cn/documentation/docs/en/guides/index_en.html)
[![Documentation Status](https://img.shields.io/badge/中文文档-最新-brightgreen.svg)](https://paddlepaddle.org.cn/documentation/docs/zh/guides/index_cn.html)
G
gangliao 已提交
12
[![Release](https://img.shields.io/github/release/PaddlePaddle/Paddle.svg)](https://github.com/PaddlePaddle/Paddle/releases)
L
liaogang 已提交
13 14
[![License](https://img.shields.io/badge/license-Apache%202-blue.svg)](LICENSE)

G
gangliao 已提交
15
Welcome to the PaddlePaddle GitHub.
E
emailweixu 已提交
16

C
Chen Long 已提交
17
PaddlePaddle, as the first independent R&D deep learning platform in China, has been officially open-sourced to professional communities since 2016. It is an industrial platform with advanced technologies and rich features that cover core deep learning frameworks, basic model libraries, end-to-end development kits, tools & components as well as service platforms.
L
Ligoml 已提交
18
PaddlePaddle is originated from industrial practices with dedication and commitments to industrialization. It has been widely adopted by a wide range of sectors including manufacturing, agriculture, enterprise service, and so on while serving more than 4.7 million developers, 180,000 companies and generating 560,000 models. With such advantages, PaddlePaddle has helped an increasing number of partners commercialize AI.
19 20 21


## Installation
G
gangliao 已提交
22

P
pangyoki 已提交
23
### Latest PaddlePaddle Release: [v2.3](https://github.com/PaddlePaddle/Paddle/tree/release/2.3)
24 25

Our vision is to enable deep learning for everyone via PaddlePaddle.
M
Muennighoff 已提交
26
Please refer to our [release announcement](https://github.com/PaddlePaddle/Paddle/releases) to track the latest features of PaddlePaddle.
X
Xin Pan 已提交
27 28
### Install Latest Stable Release:
```
C
Chen Long 已提交
29
# CPU
X
Xin Pan 已提交
30
pip install paddlepaddle
C
Chen Long 已提交
31
# GPU
X
xsrobin 已提交
32 33
pip install paddlepaddle-gpu

X
Xin Pan 已提交
34
```
E
Ethanzjp 已提交
35
For more information about installation, please view [Quick Install](https://www.paddlepaddle.org.cn/install/quick)
Z
zhangjinchao01 已提交
36

T
TCChenLong 已提交
37
Now our developers can acquire Tesla V100 online computing resources for free. If you create a program by AI Studio, you will obtain 8 hours to train models online per day. [Click here to start](https://aistudio.baidu.com/aistudio/index).
Z
zhangjinchao01 已提交
38

39
## FOUR LEADING TECHNOLOGIES
Z
zhangjinchao01 已提交
40

41
- **Agile Framework for Industrial Development of Deep Neural Networks**
42

M
Muennighoff 已提交
43
    The PaddlePaddle deep learning framework facilitates the development while lowering the technical burden, through leveraging a programmable scheme to architect the neural networks. It supports both declarative programming and imperative programming with both development flexibility and high runtime performance preserved.  The neural architectures could be automatically designed by algorithms with better performance than the ones designed by human experts.
G
gangliao 已提交
44

Z
zhangjinchao01 已提交
45

46
-  **Support Ultra-Large-Scale Training of Deep Neural Networks**
Z
zhangjinchao01 已提交
47

E
Ethanzjp 已提交
48
    PaddlePaddle has made breakthroughs in ultra-large-scale deep neural networks training. It launched the world's first large-scale open-source training platform that supports the training of deep networks with 100 billion features and trillions of parameters using data sources distributed over hundreds of nodes. PaddlePaddle overcomes the online deep learning challenges for ultra-large-scale deep learning models, and further achieved real-time model updating with more than 1 trillion parameters.
49
     [Click here to learn more](https://github.com/PaddlePaddle/Fleet)
Z
zhangjinchao01 已提交
50 51


S
Shuangchi He 已提交
52
- **High-Performance Inference Engines for Comprehensive Deployment Environments**
Z
zhangjinchao01 已提交
53

54
   PaddlePaddle is not only compatible with models trained in 3rd party open-source frameworks , but also offers complete inference products for various production scenarios. Our inference product line includes [Paddle Inference](https://paddle-inference.readthedocs.io/en/master/guides/introduction/index_intro.html): Native inference library for high-performance server and cloud inference; [Paddle Serving](https://github.com/PaddlePaddle/Serving): A service-oriented framework suitable for distributed and pipeline productions; [Paddle Lite](https://github.com/PaddlePaddle/Paddle-Lite): Ultra-Lightweight inference engine for mobile and IoT environments; [Paddle.js](https://www.paddlepaddle.org.cn/paddle/paddlejs): A frontend inference engine for browser and mini-apps. Furthermore, by great amounts of optimization with leading hardware in each scenario, Paddle inference engines outperform most of the other mainstream frameworks.
55 56 57
     
     
- **Industry-Oriented Models and Libraries with Open Source Repositories**
Y
Yi Wang 已提交
58

M
Muennighoff 已提交
59
     PaddlePaddle includes and maintains more than 100 mainstream models that have been practiced and polished for a long time in the industry. Some of these models have won major prizes from key international competitions. In the meanwhile, PaddlePaddle has further more than 200 pre-training models (some of them with source codes) to facilitate the rapid development of industrial applications.
60 61
     [Click here to learn more](https://github.com/PaddlePaddle/models)
     
62

Z
zhangjinchao01 已提交
63
## Documentation
64

C
Chen Long 已提交
65 66
We provide [English](https://www.paddlepaddle.org.cn/documentation/docs/en/guides/index_en.html) and
[Chinese](https://www.paddlepaddle.org.cn/documentation/docs/zh/guide/index_cn.html) documentation.
Y
Yi Wang 已提交
67

C
Chen Long 已提交
68
- [Guides](https://www.paddlepaddle.org.cn/documentation/docs/en/guides/index_en.html)
Y
Yi Wang 已提交
69

70
  You might want to start from how to implement deep learning basics with PaddlePaddle.
Y
Yi Wang 已提交
71

C
Chen Long 已提交
72
- [Practice](https://www.paddlepaddle.org.cn/documentation/docs/zh/tutorial/index_cn.html)
73

M
Muennighoff 已提交
74
  So far you have already been familiar with Fluid. And the next step should be building a more efficient model or inventing your original Operator. 
75 76

- [API Reference](https://www.paddlepaddle.org.cn/documentation/docs/en/api/index_en.html)
77

Y
Yi Wang 已提交
78
   Our new API enables much shorter programs.
79

C
Chen Long 已提交
80
- [How to Contribute](https://www.paddlepaddle.org.cn/documentation/docs/en/guides/08_contribution/index_en.html)
Z
zhangjinchao01 已提交
81

Y
Yi Wang 已提交
82
   We appreciate your contributions!
83

84
## Communication
85

86
- [Github Issues](https://github.com/PaddlePaddle/Paddle/issues): bug reports, feature requests, install issues, usage issues, etc.
87
- QQ discussion group: 441226485 (PaddlePaddle).
L
Ligoml 已提交
88
- [Forums](https://aistudio.baidu.com/paddle/forum): discuss implementations, research, etc.
P
PaddlePM 已提交
89 90 91 92 93
    
## Courses

- [Server Deployments](https://aistudio.baidu.com/aistudio/course/introduce/19084): Courses intorducing high performance server deployments via local and remote services.
- [Edge Deployments](https://aistudio.baidu.com/aistudio/course/introduce/22690): Courses intorducing edge deployments from mobile, IoT to web and applets.   
Z
zhangjinchao01 已提交
94 95 96

## Copyright and License
PaddlePaddle is provided under the [Apache-2.0 license](LICENSE).