| aws/sagemaker-rl-container |
63 |
|
0 |
0 |
almost 4 years ago |
0 |
|
6 |
apache-2.0 |
Python |
| A set of dockerfiles that provide Reinforcement Learning solutions for use in SageMaker. |
| aws/sagemaker-mxnet-training-toolkit |
60 |
|
0 |
0 |
over 5 years ago |
28 |
September 14, 2020 |
3 |
apache-2.0 |
Python |
| Toolkit for running MXNet training scripts on SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https://github.com/aws/deep-learning-containers. |
| uetchy/dockerfile-machinelearning |
44 |
|
0 |
0 |
about 7 years ago |
0 |
|
1 |
mit |
Dockerfile |
| 🐳🤖 Dockerfile for ML researchers. |
| honghulabs/DockerKeras |
41 |
|
0 |
0 |
over 6 years ago |
0 |
|
2 |
|
Dockerfile |
| We provide GPU-enabled docker images including Keras, TensorFlow, CNTK, MXNET and Theano. |
| MTCloudVision/MTSVRC |
27 |
|
0 |
0 |
over 7 years ago |
0 |
|
7 |
|
Python |
| MTSVRC2018竞赛结果提交镜像说明 |
| PINTO0309/mtomo |
17 |
|
0 |
0 |
about 5 years ago |
0 |
|
0 |
mit |
Dockerfile |
| Multiple types of NN model optimization environments. It is possible to directly access the host PC GUI and the camera to verify the operation. Intel iHD GPU (iGPU) support. NVIDIA GPU (dGPU) support. |
| Chouffe/mxnet-clj-tutorials |
15 |
|
0 |
0 |
almost 7 years ago |
0 |
|
0 |
epl-1.0 |
Clojure |
| Tutorials and examples for clojure MXNet |
| okwrtdsh/anaconda3 |
14 |
|
0 |
0 |
over 7 years ago |
0 |
|
1 |
|
Dockerfile |
| Anaconda3, Jupyter Notebook, OpenCV3, TensorFlow and Keras2 for Deep Learning🐳 |
| haven-jeon/ko_data_science_docker |
12 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
|
Dockerfile |
| 데이터 분석 모델링용 도커 이미지 |
| JermineHu/docker-dl |
5 |
|
0 |
0 |
almost 8 years ago |
0 |
|
0 |
mit |
|
| Dockerfile for DeepLearn (Mxnet , Pytorch , Caffe2 , Tensorflow). This repository recommends developers to use, which covers cuda9.1, cudnn7.0, tensorflow1.8, opencv3.4.1, pytorch0.4.0, mxnet1.1 ,caffe,caffe2 . |
