Galliot now hosts all Neuralet’s content and expertise gained in three years of work and completing high-quality applications, mainly in Computer Vision and Deep Learning. More Info
Neuralet is an open-source platform for deep learning models on GPUs, TPUs, and more. This open-source project was backed by the Galliot team (galliot.us) in 2019, and later added to their portfolio. The goal is to make it easier to start and evaluate 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.
Please join our slack channel or reach out to [email protected] if you have any questions.
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:
