| mozilla/DeepSpeech |
23,687 |
|
29 |
14 |
over 2 years ago |
100 |
December 19, 2020 |
137 |
mpl-2.0 |
C++ |
| DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers. |
| adap/flower |
3,545 |
|
0 |
6 |
about 2 years ago |
28 |
November 28, 2023 |
374 |
apache-2.0 |
Python |
| Flower: A Friendly Federated Learning Framework |
| autorope/donkeycar |
2,907 |
|
2 |
0 |
over 2 years ago |
13 |
November 05, 2018 |
96 |
mit |
Python |
| Open source hardware and software platform to build a small scale self driving car. |
| samjabrahams/tensorflow-on-raspberry-pi |
2,077 |
|
0 |
0 |
over 7 years ago |
0 |
|
73 |
other |
Python |
| TensorFlow for Raspberry Pi |
| DT42/BerryNet |
1,563 |
|
0 |
0 |
over 3 years ago |
1 |
November 01, 2020 |
19 |
gpl-3.0 |
Python |
| Deep learning gateway on Raspberry Pi and other edge devices |
| SharpAI/DeepCamera |
1,506 |
|
0 |
0 |
over 2 years ago |
0 |
|
15 |
mit |
JavaScript |
| Open-Source AI Camera. Empower any camera/CCTV with state-of-the-art AI, including facial recognition, person recognition(RE-ID) car detection, fall detection and more |
| EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi |
1,422 |
|
0 |
0 |
over 2 years ago |
0 |
|
74 |
apache-2.0 |
Jupyter Notebook |
| A tutorial showing how to train, convert, and run TensorFlow Lite object detection models on Android devices, the Raspberry Pi, and more! |
| EdjeElectronics/TensorFlow-Object-Detection-on-the-Raspberry-Pi |
834 |
|
0 |
0 |
over 6 years ago |
0 |
|
48 |
apache-2.0 |
Python |
| A tutorial showing how to set up TensorFlow's Object Detection API on the Raspberry Pi |
| lhelontra/tensorflow-on-arm |
791 |
|
0 |
0 |
over 5 years ago |
0 |
|
19 |
mit |
Shell |
| TensorFlow for Arm |
| felipessalvatore/self_driving_pi_car |
734 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
mit |
Python |
| A deep neural network based self-driving car, that combines Lego Mindstorms NXT with the computational power of a Raspberry Pi 3. |
