Showing posts with label pytorch. Show all posts
Showing posts with label pytorch. Show all posts
Sunday, October 17, 2021

Fine-tuning OpenAI CLIP for different domains

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In July this year, a group of us on the TWIML Slack Channel came together and participated in the Flax/JAX Community Week organized by Hug...
2 comments:
Friday, May 21, 2021

Distributed Training of a Bengali ALBERT model

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Even though I am from India and my mother tongue is Bengali, and I speak, read, and write both Hindi and Bengali almost as well as English, ...
3 comments:
Saturday, March 27, 2021

More tricks to improve performance of CIFAR-10 classifier

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Some time back I wrote a post about Tricks to improve performance of CIFAR-10 classifier , based on things I learned from New York Universit...
Sunday, February 07, 2021

Comparison of Text Augmentation Strategies for Spam Detection

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Some time back, I found myself thinking of different data augmentation strategies for unbalanced datasets, i.e. datasets in which one or mor...
4 comments:
Tuesday, January 19, 2021

Tricks to improve performance of CIFAR-10 classifier

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I am participating in a weekly meetup with a TWIML (This Week in Machine Learning) group where we go through video lectures of the NYU (New...
Saturday, December 19, 2020

First steps with Pytorch Lightning

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Some time back, Quora routed a "Keras vs. Pytorch" question to me, which I decided to ignore because it seemed too much like flam...
3 comments:
Saturday, January 18, 2020

Adding a Transformer based NER model into NERDS

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In December last year at PyData LA , I did a presentation on NERDS , a toolkit fo Named Entity Recognition (NER), open sourced by some of m...
Wednesday, November 15, 2017

Observations of a Keras developer learning Pytorch

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In terms of toolkits, my Deep Learning (DL) journey started with using Caffe pre-trained models for transfer learning. This was followed b...