Comments (1)
Hi @ifed-ucsd ,
The training code along with the quantization is public and is already in the repo at: https://github.com/Microsoft/EdgeML/tree/master/tf/examples/FastCells. I am not sure what is that you want to be public. If you are talking about the Wakeword-2 dataset, unfortunately, it is proprietary. But one can use Google Keyword dataset as a substitute. The FastGRNN paper describes the featurization as well for the keyword spotting datasets. Lastly, if you want IoT device code, we haven't released the handwritten Arduino code as we are expecting the release of SeeDot a compiler to generate optimized code for the devices. You can write a native C implementation and it should work. An example for one of the hand written codes is: https://github.com/Microsoft/EdgeML/blob/master/Applications/GesturePod/onMKR1000/onMKR1000.ino
We have also shared the hyperparams for the datasets in the Appendix of the paper.
Do let me know if there is something else you need.
Thanks
from edgeml.
Related Issues (20)
- USE_DROPOUT = True HOT 3
- FastGRNN HOT 7
- Exception: FastGRNNCUDA is supported only on GPU devices. HOT 6
- Inference Code to deploy KWS on bluecoin HOT 2
- Question about F1 score for Cifar-10 HOT 5
- DROCC Learning Rate Sheduler HOT 2
- Error while converting .onnx model to .pb format HOT 2
- Question about Bonsai training HOT 2
- KWS-demo throwing errors on running FastGRNNCUDA inference on google speech commands dataset HOT 1
- Seedot HOT 7
- How to predict a Test Sample? HOT 5
- SeeDot-dev.py only working for fastgrnn HOT 22
- The model of DROCC seems missing HOT 3
- How to get predictions from trained model for FastCells in Tensorflow HOT 3
- Why Bonsai and ProtoNN does not return logits but only the argmax of predictions? HOT 1
- For Image Anomaly, custom dataset HOT 6
- Select protoypes without projecting
- This repo is missing important files HOT 1
- Why is the GRNN much slower than a GRU HOT 1
- ImageNet-10 dataset RNN-Pooling HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from edgeml.