| ufoym/deepo |
6,312 |
|
0 |
0 |
over 3 years ago |
0 |
|
1 |
mit |
Python |
| Setup and customize deep learning environment in seconds. |
| QIN2DIM/epic-awesome-gamer |
752 |
|
0 |
0 |
over 2 years ago |
0 |
|
5 |
gpl-3.0 |
Python |
| 🍷 Gracefully claim weekly free games and monthly content from Epic Store. |
| roboflow/inference |
716 |
|
0 |
0 |
over 2 years ago |
17 |
December 05, 2023 |
7 |
other |
Python |
| A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models. |
| stochasticai/x-stable-diffusion |
523 |
|
0 |
0 |
over 2 years ago |
0 |
|
22 |
apache-2.0 |
Jupyter Notebook |
| Real-time inference for Stable Diffusion - 0.88s latency. Covers AITemplate, nvFuser, TensorRT, FlashAttention. |
| PINTO0309/onnx2tf |
461 |
|
0 |
2 |
over 2 years ago |
438 |
December 10, 2023 |
14 |
mit |
Python |
| Self-Created Tools to convert ONNX files (NCHW) to TensorFlow/TFLite/Keras format (NHWC). The purpose of this tool is to solve the massive Transpose extrapolation problem in onnx-tensorflow (onnx-tf). I don't need a Star, but give me a pull request. |
| SthPhoenix/InsightFace-REST |
436 |
|
0 |
0 |
over 2 years ago |
0 |
|
33 |
apache-2.0 |
Python |
| InsightFace REST API for easy deployment of face recognition services with TensorRT in Docker. |
| 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) |
| 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. |
| PINTO0309/tflite2tensorflow |
186 |
|
0 |
0 |
over 3 years ago |
140 |
July 18, 2022 |
1 |
mit |
Python |
| Generate saved_model, tfjs, tf-trt, EdgeTPU, CoreML, quantized tflite, ONNX, OpenVINO, Myriad Inference Engine blob and .pb from .tflite. 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. Supports inverse quantization of INT8 quantization model. |
| leimao/ONNX-Runtime-Inference |
141 |
|
0 |
0 |
over 3 years ago |
0 |
|
5 |
mit |
C++ |
| ONNX Runtime Inference C++ Example |
