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codeinassembly

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Show HN: Efficient `Torch.cdist` Using Triton

github.com
1 points·by codeinassembly·anno scorso·0 comments

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

5 points·by codeinassembly·2 anni fa·0 comments

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

github.com
4 points·by codeinassembly·2 anni fa·0 comments

[untitled]

1 points·by codeinassembly·3 anni fa·0 comments

Explaining Large Language Models by Breaking Them

dagshub.com
3 points·by codeinassembly·3 anni fa·1 comments

Deep Learning Papers Are Kinda Bullsh-T

dagshub.com
96 points·by codeinassembly·4 anni fa·64 comments

Unraveling the Deep Learning Reproducibility Crisis

dagshub.com
11 points·by codeinassembly·4 anni fa·0 comments

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

2 points·by codeinassembly·4 anni fa·0 comments

comments

codeinassembly
·3 anni fa·discuss
And other fun details
codeinassembly
·4 anni fa·discuss
Neat!
codeinassembly
·4 anni fa·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.