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Edgetpu Alternatives
Similar projects and alternatives to edgetpu
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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Dual-Edge-TPU-Adapter
Dual Edge TPU Adapter to use it on a system with single PCIe port on m.2 A/B/E/M slot
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yolov7_d2
🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥
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yolov7
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
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homebridge-wyze-connected-home-op
Discontinued Wyze Connected Home plugin for Homebridge with support for the Wyze Outdoor Plug
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PINTO_model_zoo
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
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edgetpu-yolo
Minimal-dependency Yolov5 export and inference demonstration for the Google Coral EdgeTPU
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CATNet
🛰️ Learning to Aggregate Multi-Scale Context for Instance Segmentation in Remote Sensing Images (TNNLS 2023)
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
edgetpu reviews and mentions
- The Pixel 8 Pro's Tensor G3 off-loads all generative AI tasks to the cloud
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Chromebook Plus: more performance and AI capabilities
I know the tensor power pixelbook was shutdown and I never heard the actual reason just a bunch of speculation about costs/profitability which is probably true.
It's a shame that there isn't more competition and development in the neural asic world to harness the power of llms/generative AI on a low power, cheap hardware platform like the pixelbook line. For someone that invented the TPU they have done a not so great job of ensuring it's commercialization and support. Both on the hardware and software side.
The coral edge tpu seemed to be the right high level idea but without proper execution.
https://github.com/google-coral/edgetpu/issues/668
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Show HN: RISC-V core written in 600 lines of C89
> even in the 80s I wanted an FPGA accelerators in every machine
Mostly unrelated, but I recently discovered that you can buy TPUs, right now, as a consumer product, from https://coral.ai.
The stock firmware already allows you to run these things so hard they overheat, which is amazing.
But yes, I also want FPGA accelerators.
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Another PCIe A+E card in place of wifi in M900 tiny
I'm looking at the coral.ai cards and they have a M.2 A+E card, same form factor as the wifi slot in the m900 tiny. Has anyone tried another card in that slot other than wifi?
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Sony backs Raspberry Pi with fresh funding, access to A.I. chips
Chips optimized to perform the type of calculations used for NN inference at high parallelism. A good example would be the google spinoff https://coral.ai/ (though their usecase is highly limited by sub-par software constraints)
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Any ML accelarator chips?
By no means an expert, but I have seen prototypes using a raspberry pi and a dongle from Coral Ai. They have PCIE and USB based modules.
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Is Google coral getting abandoned
Last news on https://coral.ai/ was on May 5 2022
Activity on the github project seems to have stopped. https://github.com/google-coral
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Ask HN: Worth it to buy 4x Nvidia Tesla K40 for AI?
https://coral.ai/
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How do you effectively test accuracy of your software product?
Your problem statement still needs more clarification. If the above applies, the best way is to evaluate your ML-based pattern matcher on high-level scenarios. One approach to speed up the evaluation is to lift and shift the execution of scenarios into cloud. Another approach is to use an AI accelerator, such as http://coral.ai or other.
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Cluster AIs - low cost (lower performance) super/minicomputing
You probably could but not with raspis. Maybe the TPUs they sell. https://coral.ai/
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A note from our sponsor - InfluxDB
www.influxdata.com | 25 Apr 2024
Stats
google-coral/edgetpu is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of edgetpu is C++.
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