BerryNet
Edge AI platform
An edge computing platform that enables AIoT applications on devices such as Raspberry Pi without internet connectivity.
Deep learning gateway on Raspberry Pi and other edge devices
2k stars
107 watching
230 forks
Language: Python
last commit: over 3 years agoaiotdeep-learningedge-aiedge-computingedge-devicesiotmqttopenvinoraspberry-pitensorflowtensorrt
Related projects:
| Repository | Description | Stars |
|---|---|---|
 pulp-platform/pulp | A platform for designing and implementing ultra-low-power, parallel computing systems for IoT edge applications. | 458 |
 geek-ai/magent | A platform for multi-agent reinforcement learning research and development | 1,700 |
 ibm/aihwkit | An open source toolkit for developing and training neural networks on analog computing devices | 365 |
 edgenesis/shifu | Enables IoT devices to be integrated into a Kubernetes cluster without requiring separate infrastructure management | 1,291 |
 dogtiti/autogpt-next-web | A tool for deploying and managing autonomous AI agents in a web-based interface | 184 |
 baetyl/baetyl | Extends cloud computing capabilities to edge devices, enabling low-latency and offline services. | 1,879 |
 alibaba-miil/tresnet | A high-performance deep learning architecture designed to balance accuracy and efficiency on GPUs. | 471 |
 aayushbansal/pixelnet | An architecture and toolset for training deep learning models to perform pixel-level tasks such as image segmentation and surface normal estimation. | 196 |
 ai-techsystems/deepc | A vendor-independent deep learning library and framework for small form-factor devices. | 568 |
 macchina-io/macchina.io | An IoT edge computing platform that enables rapid deployment of device applications with secure, modular, and extensible C++ and JavaScript environments. | 517 |
 bruinxiong/modified-crunet-and-residual-attention-network.mxnet | An MXNet implementation of a modified deep neural network architecture for image classification | 67 |
 crespum/oscw18-edge-ai | An analysis of using edge computing and artificial intelligence in small satellites to increase autonomy and reduce dependency on ground stations | 12 |
 microsoft/deepspeed-mii | A Python library designed to accelerate model inference with high-throughput and low latency capabilities | 1,924 |
 ayapejian/node-red-contrib-home-assistant | Enables automation and communication between Node-Red and Home Assistant systems. | 75 |
 forresti/squeezenet | Provides pre-trained models and training configurations for a deep neural network architecture optimized for image classification tasks | 2,181 |