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codeinassembly

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Show HN: Efficient `Torch.cdist` Using Triton

github.com
1 points·by codeinassembly·tahun lalu·0 comments

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

5 points·by codeinassembly·2 tahun yang lalu·0 comments

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

github.com
4 points·by codeinassembly·2 tahun yang lalu·0 comments

[untitled]

1 points·by codeinassembly·3 tahun yang lalu·0 comments

Explaining Large Language Models by Breaking Them

dagshub.com
3 points·by codeinassembly·3 tahun yang lalu·1 comments

Deep Learning Papers Are Kinda Bullsh-T

dagshub.com
96 points·by codeinassembly·4 tahun yang lalu·64 comments

Unraveling the Deep Learning Reproducibility Crisis

dagshub.com
11 points·by codeinassembly·4 tahun yang lalu·0 comments

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

2 points·by codeinassembly·4 tahun yang lalu·0 comments

comments

codeinassembly
·3 tahun yang lalu·discuss
And other fun details
codeinassembly
·4 tahun yang lalu·discuss
Neat!
codeinassembly
·4 tahun yang lalu·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.