Mosarrat Rumman Isaba @_isaba_
A Machine Learning enthusiast, IBMi programmer, an aspiring researcher, an animal lover and an equalist seeking for her Ikigai.☯️⚛ I tweet regularly about ML. Bangladesh Joined March 2010-
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#dalle is breaking the internet but do you know how are these generative models like #dalle2 , Google's #Imagen creating such amazing quality images? #Diffusion model is the answer which beats #GAN in image synthesis. Will be writing a small blog on diffusion models soon!
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Mosarrat Rumman Isaba retweeted
Why have diffusion models displaced GANs so quickly? Consider the tale of the (very strange) first DALLE model. In 2021, diffusions were almost unheard of, yet the creators of DALLE had already rejected the GAN approach. Here’s why. 🧵
Check out my recent IEEE #publication on Bangla #NLP where I compared the performance of a classic approach using HMM and a modern #deeplearning approach bi-LSTM on POS tagging in Bangla sentences. Will appreciate your feedback. @ResearchGate researchgate.net/publication/36…
Mosarrat Rumman Isaba retweeted
Everyone seems to be talking about large AI models: DALL-E 2, Copilot, and GPT-3 are just a few examples. Unfortunately, training large models is unaffordable for people like you and me. But not everything is lost! Here is a solution: 1 of 3
A very informative post for new ML researches on how to split the dataset.
Every machine learning course talks about splitting your data. Surprisingly, many people don't understand how to use each set properly. Let's talk about some of the things you should know about splitting your data: 1 of 14
Mosarrat Rumman Isaba retweeted
Every machine learning course talks about splitting your data. Surprisingly, many people don't understand how to use each set properly. Let's talk about some of the things you should know about splitting your data: 1 of 14
@burkov For NLP yes! But for Computer vision you probably forgot to mention about GANs and pre trained CNN models.
I love how Twitter build up an amazing community for AI/ML researchers. I get to read amazing tweets about ML and cutting edge research papers each time I login to Twitter. So much motivation in one place! #Twitter #Motivational #MachineLearning #DataScience
@iScienceLuvr I always endup using Google Colab 😌
Mosarrat Rumman Isaba retweeted
Choosing a venue: conference or journal? homes.cs.washington.edu/~mernst/advice… #journals #conferences #academia
@Hamarneh_MIA @izdsaeed @SFU_CompSci Have always followed works from this lab. Thanks for sharing these papers and codes. These are going to be a great help for my ongoing research on using GAN in medical imaging. Thank you for enriching the community.
Mosarrat Rumman Isaba retweeted
Check out Saeed Izadi @izdsaeed code for #DeepLearning #GANs for #MedicalImageAnalysis: image #denoising, #super_resolution, and #segmentation @SFU_CompSci 🧵1/5
Familiar to both feelings 😅but recently trying to be a 'Scientist' 😂 #programminghumor #100DaysOfCode
Mosarrat Rumman Isaba retweeted
I spent most of this past weekend experimenting with DALL·E 2, OpenAI’s new AI system that can create realistic images from a written description. I curated a book of 1000 robot paintings. You can view the entire thing online at archive.org/details/111110… #dalle
GPTs are known to work well for language generation.But did you know image GPT or iGPT can generate image too?Extending this concept of iGPT OpenAI came up this wondrous creation Dall-e that will generate an image with any caption you input.Amazing isn’t it? #AI #MachineLearning
Mosarrat Rumman Isaba retweeted
Found this amazing Cheat sheet for Pandas library for Machine Learning. This is all you need almost for pandas.
@AndrewYNg @annajiat @StanfordOnline @DeepLearningAI_ such a great news! Eagerly waiting!
Mosarrat Rumman Isaba retweeted
Coursera had started with my machine learning class. I’m delighted to announce that I’ll soon be teaching a new Machine Learning Specialization, created by @StanfordOnline & @DeepLearningAI_. Please help me spread the word! You can sign up here: deeplearning.ai/program/machin…
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