| xitu/gold-miner |
33,121 |
|
0 |
0 |
about 2 years ago |
0 |
|
6 |
|
|
| 🥇掘金翻译计划，可能是世界最大最好的英译中技术社区，最懂读者和译者的翻译平台： |
| ahkarami/Deep-Learning-in-Production |
4,138 |
|
0 |
0 |
over 2 years ago |
0 |
|
9 |
|
|
| In this repository, I will share some useful notes and references about deploying deep learning-based models in production. |
| Xtremilicious/projectlearn-project-based-learning |
2,074 |
|
0 |
0 |
over 2 years ago |
0 |
|
4 |
mit |
JavaScript |
| A curated list of project tutorials for project-based learning. |
| photonixapp/photonix |
1,733 |
|
0 |
0 |
about 3 years ago |
0 |
|
143 |
agpl-3.0 |
Python |
| A modern, web-based photo management server. Run it on your home server and it will let you find the right photo from your collection on any device. Smart filtering is made possible by object recognition, face recognition, location awareness, color analysis and other ML algorithms. |
| csxiaoyaojianxian/JavaScriptStudy |
660 |
|
0 |
0 |
over 2 years ago |
0 |
|
47 |
mit |
JavaScript |
| JavaScript的学习代码总结，高级特性、数据结构、设计模式、typescript、vue、angular、react、node、webpack、weex、小程序、tensorflow…，JavaScript是世界上最好的语言！ |
| mrousavy/react-native-fast-tflite |
429 |
|
0 |
0 |
about 2 years ago |
3 |
August 25, 2023 |
3 |
mit |
C |
| 🔥 High-performance TensorFlow Lite library for React Native with GPU acceleration |
| Volcomix/virtual-background |
423 |
|
0 |
0 |
over 2 years ago |
0 |
|
21 |
apache-2.0 |
TypeScript |
| Demo on adding virtual background to a live video stream in the browser |
| reneweb/react-native-tensorflow |
353 |
|
5 |
2 |
about 5 years ago |
21 |
June 09, 2018 |
22 |
apache-2.0 |
Java |
| A TensorFlow inference library for react native |
| mariusbrataas/flowpoints_ml |
332 |
|
0 |
0 |
about 6 years ago |
0 |
|
3 |
mit |
JavaScript |
| An intuitive approach to creating deep learning models |
| GACWR/OpenUBA |
264 |
|
0 |
0 |
over 3 years ago |
0 |
|
23 |
gpl-3.0 |
Python |
| A robust, and flexible open source User & Entity Behavior Analytics (UEBA) framework used for Security Analytics. Developed with luv by Data Scientists & Security Analysts from the Cyber Security Industry. [PRE-ALPHA] |
