GitPlanet

Cheap and reliable Node.js hosting starts at $3/month, and $1/month static HTML hosting

Created with love in Canada, visit hostnodejs.com today

Feel like to post an Ad? Learn Details
All Projects → ucloud → uai-sdk

ucloud / uai-sdk

Licence: Apache-2.0 License
UCloud AI SDK

Programming Languages

python
139335 projects - #7 most used programming language

Labels

caffetensorflowuclouduai-sdk

Projects that are alternatives of or similar to uai-sdk

caffe
This fork of BVLC/Caffe is dedicated to supporting Cambricon deep learning processor and improving performance of this deep learning framework when running on Machine Learning Unit(MLU).
Stars: ✭ 40 (+17.65%)
Mutual labels:  caffe
XLearning-GPU
qihoo360 xlearning with GPU support; AI on Hadoop
Stars: ✭ 22 (-35.29%)
Mutual labels:  caffe
kernelized correlation filters gpu
Real-time visual object tracking using correlations filters and deep learning
Stars: ✭ 27 (-20.59%)
Mutual labels:  caffe
nettutorial
Deep learning tutorial
Stars: ✭ 27 (-20.59%)
Mutual labels:  caffe
Faster rcnn Cplusplus vs2013
faster-rcnn_VS2013with C++
Stars: ✭ 77 (+126.47%)
Mutual labels:  caffe
faster-rcnn-pedestrian-detection
Faster R-CNN for pedestrian detection
Stars: ✭ 31 (-8.82%)
Mutual labels:  caffe
globalssh4github
利用UCloud的免费GlobalSSH服务加速github的ssh协议
Stars: ✭ 29 (-14.71%)
Mutual labels:  ucloud
Similarity-Adaptive-Deep-Hashing
Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization (TPAMI2018)
Stars: ✭ 18 (-47.06%)
Mutual labels:  caffe
caffe-yolo-9000
caffe-yolo-9000
Stars: ✭ 49 (+44.12%)
Mutual labels:  caffe
caffe-demo
Collection of deep learning demos based on neworks from the Caffe Zoo
Stars: ✭ 15 (-55.88%)
Mutual labels:  caffe
TensorRT-LPR
车牌识别，基于HyperLPR实现，修改模型调用方法，使用caffe+tensorRT实现GPU加速，修改了车牌检测模型
Stars: ✭ 14 (-58.82%)
Mutual labels:  caffe
SSD Tracker
Counting people, dog and bicycle using SSD detection and tracking.
Stars: ✭ 17 (-50%)
Mutual labels:  caffe
Face-Attributes-MultiTask-Classification
Use Cafffe to do Face Attributes MultiTask Classification based on CelebA data sets
Stars: ✭ 32 (-5.88%)
Mutual labels:  caffe
caffe-mobilenet-v3
Caffe Implementation of MobileNets V3
Stars: ✭ 127 (+273.53%)
Mutual labels:  caffe
CAM-Python
Class Activation Mapping with Caffe using the Python wrapper pycaffe instead of matlab.
Stars: ✭ 66 (+94.12%)
Mutual labels:  caffe
dd performances
DeepDetect performance sheet
Stars: ✭ 92 (+170.59%)
Mutual labels:  caffe
FDCNN
The implementation of FDCNN in paper - A Feature Difference Convolutional Neural Network-Based Change Detection Method
Stars: ✭ 54 (+58.82%)
Mutual labels:  caffe
autodial
AutoDIAL Caffe Implementation
Stars: ✭ 28 (-17.65%)
Mutual labels:  caffe
MobilenetSSD caffe
How to train and verify mobilenet by using voc pascal data in caffe ssd?
Stars: ✭ 25 (-26.47%)
Mutual labels:  caffe
all-classifiers-2019
A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.
Stars: ✭ 24 (-29.41%)
Mutual labels:  caffe
View All Similar Projects ➔

uai-sdk

What is UCloud AI SDK

  1. This SDK include pack tool to pack local AI inference program into UCloud web service image which could run on UCloud UAI Inference Platform.
  2. This SDK include whole APIs which could interactive with UCloud UAI Inference Platform.
  3. This SDK include pack tool to help pack local AI trainning program into UCloud Docker image which could run on UCloud UAI Train Platform.
  4. This SDK include whole APIs which could interactive with UCloud UAI Train Platforms

Supported AI Platform

UAI Inference

CHECK ON：UAI Inference Base Docker Images

1. GPU

  • Tensorflow (1.6.0 tested)
  • Tensorflow (1.7.0 tested)
  • Caffe (1.0.0 tested)

2. CPU

  • Tensorflow (1.1.0 tested）
  • Tensorflow (1.2.0 tested）
  • Tensorflow (1.3.0 tested)
  • Tensorflow (1.4.0 tested)
  • Tensorflow (1.6.0 tested)
  • Tensorflow (1.7.0 tested)
  • Tensorflow (1.8.0, cuda9 tested)
  • Tensorflow (1.9.0, cuda9 tested)
  • Tensorflow (1.10.0, cuda9 tested)
  • Tensorflow (1.11.0, cuda9 tested)
  • Tensorflow (1.12.0, cuda9 tested)
  • Tensorflow (2.0.0a, cuda10 tested)
  • MXNet (0.9.5 tested)
  • MXNet (1.0.0 tested)
  • Keras (1.2.0 tested)
  • Keras (2.0.8 tested)
  • Caffe (1.0.0 tested)
  • Intel-Caffe
  • XGBoost (0.7 tested, python interface only)

UAI Train

CHECK ON：UAI Train Base Docker Images

  • Tensorflow (0.11.0 tested)
  • Tensorflow（1.1.0 tested）
  • Tensorflow（1.2.0 tested）
  • Tensorflow（1.3.0 tested)
  • Tensorflow（1.4.0 tested）
  • Tensorflow（1.5.0, cuda9 tested)
  • Tensorflow（1.6.0, cuda9 tested）
  • Tensorflow (1.7.0, cuda9 tested)
  • Tensorflow (1.8.0, cuda9 tested)
  • Tensorflow (1.9.0, cuda9 tested)
  • Tensorflow (1.10.0, cuda9 tested)
  • Tensorflow (1.11.0, cuda9 tested)
  • Tensorflow (1.12.0, cuda9 tested)
  • Tensorflow (2.0.0a, cuda10 tested)
  • MXNet (0.9.5 tested)
  • MXNet (1.0.0, cuda9 tested)
  • Keras (2.0.8 tested)
  • Keras (2.1.6, tf-1.8 testes)
  • Caffe (1.0.0 tested)
  • Caffe2 (Detection)
  • PyTorch (0.2.0)
  • PyTorch (0.4)

UAI Train Supporting Distributed Training

  • Tensorflow Distributed Training (examples include slim/cifar/wide-deep)
  • MXNet Distributed Training

How to install

  1. Install your deep learning python package, such as Tensorflow, MXNet, Keras, Caffe (tested version preferred)

  2. Install uai-sdk

     $ sudo python setup.py install

  3. Install all other lib your inference code required

How to interactive with UCloud UAI Platform

UAI Inference Docs

https://docs.ucloud.cn/ai/uai-inference/index

UAI Train Docs

https://docs.ucloud.cn/ai/uai-train/use

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].