Neuralet is an open-source platform for edge deep learning models on GPU, TPU, and more. We hope to make it easier to start and evaluate various deep learning models on different edge devices.
We currently provide models for Coral Dev Board TPU and amd64 node with attached usb edge TPU, and soon will release models for other edge devices such as NVIDIA Jetson and more.
Neuralet is a set of docker containers that are packaged to run directly on the device. A separate docker container is built for each model on each device to make it very simple to get started with any model on any device.
Image Classification
- efficientnet-edgetpu-L
- efficientnet-edgetpu-M
- efficientnet-edgetpu-S
- inception_v1_224_quant_20181026
- inception_v2_224_quant_20181026
- inception_v3_quant
- inception_v4_299_quant
- mobilenet_v1_1.0_224
- mobilenet_v2_1.0_224
- mobilenet_v2_1.0_224_inat_bird
- mobilenet_v2_1.0_224_inat_insect
- mobilenet_v2_1.0_224_inat_plant
Object Detection
Image Classification
- efficientnet-edgetpu-L
- efficientnet-edgetpu-M
- efficientnet-edgetpu-S
- inception_v1_224_quant_20181026
- inception_v2_224_quant_20181026
- inception_v3_quant
- inception_v4_299_quant
- mobilenet_v1_1.0_224
- mobilenet_v2_1.0_224
- mobilenet_v2_1.0_224_inat_bird
- mobilenet_v2_1.0_224_inat_insect
- mobilenet_v2_1.0_224_inat_plant
Object Detection
Coming soon.
You can reach us via these channels:
- @neuralet on Twitter
- GitHub Issues
- [email protected]