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codeinassembly

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Show HN: Efficient `Torch.cdist` Using Triton

github.com
1 points·by codeinassembly·last year·0 comments

Show HN: Connecting MLflow Hosted Models and Label Studio for Auto Labelling

5 points·by codeinassembly·2 years ago·0 comments

Show HN: BoilerBot – Amazon Alexa Prize Challenge 2 TaskBot Code, Purdue Team

github.com
4 points·by codeinassembly·2 years ago·0 comments

[untitled]

1 points·by codeinassembly·3 years ago·0 comments

Explaining Large Language Models by Breaking Them

dagshub.com
3 points·by codeinassembly·3 years ago·1 comments

Deep Learning Papers Are Kinda Bullsh-T

dagshub.com
96 points·by codeinassembly·4 years ago·64 comments

Unraveling the Deep Learning Reproducibility Crisis

dagshub.com
11 points·by codeinassembly·4 years ago·0 comments

A TensorFlow Re-Implementation of CheXNet – Localization of Thoracic Diseases

2 points·by codeinassembly·4 years ago·0 comments

comments

codeinassembly
·3 years ago·discuss
And other fun details
codeinassembly
·4 years ago·discuss
Neat!
codeinassembly
·4 years ago·discuss
It is available via ONNX, which can convert to tensorflow weights. From there, it's possible to perform post-training quantization and it should finally be available for use with Coral. However, there's a good chance operations aren't yet supported by their chip, and accuracy will surely take a hit.