| oneapi-src/oneAPI-samples |
758 |
|
0 |
0 |
about 2 years ago |
0 |
|
61 |
mit |
C++ |
| Samples for Intel® oneAPI Toolkits |
| google/qkeras |
514 |
|
0 |
2 |
about 2 years ago |
1 |
July 07, 2021 |
38 |
apache-2.0 |
Python |
| QKeras: a quantization deep learning library for Tensorflow Keras |
| danielholanda/LeFlow |
329 |
|
0 |
0 |
over 6 years ago |
0 |
|
1 |
other |
Verilog |
| Enabling Flexible FPGA High-Level Synthesis of Tensorflow Deep Neural Networks |
| jofrfu/tinyTPU |
111 |
|
0 |
0 |
over 7 years ago |
0 |
|
1 |
gpl-3.0 |
VHDL |
| Implementation of a Tensor Processing Unit for embedded systems and the IoT. |
| antmicro/litex-vexriscv-tensorflow-lite-demo |
52 |
|
0 |
0 |
almost 4 years ago |
0 |
|
18 |
apache-2.0 |
RobotFramework |
| TF Lite demo on LiteX/VexRiscv soft RISC-V SoC on a Digilent Arty board |
| xddcore/OpenNNA |
46 |
|
0 |
0 |
over 2 years ago |
0 |
|
3 |
|
C++ |
| 一个开源的FPGA神经网络加速器。 |
| stanford-ppl/spatial-multiverse |
17 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
|
Python |
| Provides Spatial with front-end support from popular machine learning frameworks |
| beetleboxorg/sign_language_mnist |
15 |
|
0 |
0 |
about 3 years ago |
0 |
|
0 |
apache-2.0 |
Python |
| Tutorial for Vitis AI using the Sign Language MNIST |
| gewuek/flower_classification_vai_tf_numpy_array |
10 |
|
0 |
0 |
over 5 years ago |
0 |
|
1 |
mit |
C++ |
| The project is a simple example about how to use TensorFlow to train a ConNet model from labeled dataset and then use Vitis AI tools to deploy the model into Xilinx FPGA(ZCU102 board). To make it easier to deploy with Vitis AI. I just use numpy array as input data and OpenCV function to open images. And there is backup for DNNDK3.1 tag |
| gewuek/flower_classification_vai_tf_dataset |
6 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
mit |
C++ |
| The project show how to quick train a model and deploy it on Xilinx FPGA using TensorFlow and Vitis AI. It uses tf.data.Dataset API to handle input data, so that the input function need to be rewritten. And there is a backup for DNNDK 3.1 tag |
