| ufoym/deepo |
6,312 |
|
0 |
0 |
about 3 years ago |
0 |
|
1 |
mit |
Python |
| Setup and customize deep learning environment in seconds. |
| dmlc/gluon-nlp |
2,457 |
|
11 |
11 |
over 3 years ago |
26 |
August 13, 2020 |
269 |
apache-2.0 |
Python |
| NLP made easy |
| MLReef/mlreef |
1,403 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
other |
Kotlin |
| The collaboration workspace for Machine Learning |
| aws/deep-learning-containers |
881 |
|
0 |
0 |
about 2 years ago |
0 |
|
126 |
other |
Python |
| AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet. |
| SthPhoenix/InsightFace-REST |
436 |
|
0 |
0 |
about 2 years ago |
0 |
|
33 |
apache-2.0 |
Python |
| InsightFace REST API for easy deployment of face recognition services with TensorRT in Docker. |
| PINTO0309/openvino2tensorflow |
262 |
|
0 |
1 |
over 3 years ago |
255 |
September 08, 2022 |
5 |
mit |
Python |
| This script converts the ONNX/OpenVINO IR model to Tensorflow's saved_model, tflite, h5, tfjs, tftrt(TensorRT), CoreML, EdgeTPU, ONNX and pb. PyTorch (NCHW) -> ONNX (NCHW) -> OpenVINO (NCHW) -> openvino2tensorflow -> Tensorflow/Keras (NHWC/NCHW) -> TFLite (NHWC/NCHW). And the conversion from .pb to saved_model and from saved_model to .pb and from .pb to .tflite and saved_model to .tflite and saved_model to onnx. Support for building environments with Docker. It is possible to directly access the host PC GUI and the camera to verify the operation. NVIDIA GPU (dGPU) support. Intel iHD GPU (iGPU) support. |
| HewlettPackard/dlcookbook-dlbs |
120 |
|
0 |
0 |
about 4 years ago |
0 |
|
8 |
apache-2.0 |
Python |
| Deep Learning Benchmarking Suite |
| dominiek/deep-base |
83 |
|
0 |
0 |
almost 8 years ago |
0 |
|
1 |
|
Makefile |
| Deep learning base image for Docker (Tensorflow, Caffe, MXNet, Torch, Openface, etc.) |
| petronetto/docker-python-deep-learning |
74 |
|
0 |
0 |
about 6 years ago |
0 |
|
0 |
bsd-3-clause |
Jupyter Notebook |
| A container for Deep Learning with Python 3 |
| 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. |
