| ufoym/deepo |
6,312 |
|
0 |
0 |
about 3 years ago |
0 |
|
1 |
mit |
Python |
| Setup and customize deep learning environment in seconds. |
| hybridgroup/gocv |
5,973 |
|
0 |
154 |
about 2 years ago |
54 |
October 12, 2023 |
302 |
other |
Go |
| Go package for computer vision using OpenCV 4 and beyond. |
| Cloud-CV/Fabrik |
1,062 |
|
0 |
0 |
over 5 years ago |
0 |
|
69 |
gpl-3.0 |
Python |
| :factory: Collaboratively build, visualize, and design neural nets in browser |
| php-opencv/php-opencv-examples |
421 |
|
0 |
0 |
about 3 years ago |
0 |
|
6 |
|
PHP |
| Tutorial for computer vision and machine learning in PHP 7/8 by opencv (installation + examples + documentation) |
| NVIDIA/gpu-rest-engine |
391 |
|
0 |
0 |
over 7 years ago |
0 |
|
5 |
other |
C++ |
| A REST API for Caffe using Docker and Go |
| VISIONAI/clouddream |
376 |
|
0 |
0 |
over 9 years ago |
0 |
|
21 |
|
Shell |
| Deepdreaming in the clouds: A Dockerized deepdream Guide |
| wuba/dl_inference |
303 |
|
0 |
0 |
over 4 years ago |
0 |
|
5 |
other |
Java |
| 通用深度学习推理工具，可在生产环境中快速上线由TensorFlow、PyTorch、Caffe框架训练出的深度学习模型。 |
| 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. |
| natanielruiz/dockerface |
162 |
|
0 |
0 |
almost 6 years ago |
0 |
|
3 |
|
Dockerfile |
| Face detection using deep learning. |
| lmb-freiburg/flownet2-docker |
124 |
|
0 |
0 |
over 6 years ago |
0 |
|
1 |
gpl-3.0 |
Shell |
| Dockerfile and runscripts for FlowNet 2.0 (estimation of optical flow) |
