Gaurav Sablok PhD 🦀
@omicscode.bsky.social
He/Him | GitHub-> https://github.com/omicscode | Plants, Microbes, Bioinformatician, AI/ML/DL , Scientific Developer, Data Engineer -> https://www.icloud.com/iclouddrive/088QrZHmTgS5_iJv8RpT1-yLg#GauravSablok | Read all Post & Replies | I don’t vibe code
Additionally found this comparative information and hence, i shifted my machine and deep learning to RUST 🦀. One language highly scalable and i offer from bioinformatics to software and web development and machine to deep learning and terminal and desktop application. Results oriented approach.
November 11, 2025 at 11:47 PM
Additionally found this comparative information and hence, i shifted my machine and deep learning to RUST 🦀. One language highly scalable and i offer from bioinformatics to software and web development and machine to deep learning and terminal and desktop application. Results oriented approach.
If you will read the Burn 🔥 at burn.dev then the same autoencoder with 2 layer of neural networks and with scalerfit from linfa and no autograd feature will look like.
November 10, 2025 at 11:39 PM
If you will read the Burn 🔥 at burn.dev then the same autoencoder with 2 layer of neural networks and with scalerfit from linfa and no autograd feature will look like.
@bielleogy.bsky.social thank you so much. A worked out idea. The f64 vector showing the abundances of the Metagenomics counts collected over a time series data. Outlier removed, standardscalerfit and then just call the logistic regressor to classify the class as diseased or not or anything.
November 9, 2025 at 11:55 PM
@bielleogy.bsky.social thank you so much. A worked out idea. The f64 vector showing the abundances of the Metagenomics counts collected over a time series data. Outlier removed, standardscalerfit and then just call the logistic regressor to classify the class as diseased or not or anything.
Hoping that everyone enjoying Friday. Me reading the Graph machine learning book, submitting new job offers and finishing the last part of the machine learning and this book is really good. This part is not present in RUST 🦀 hence using Python for the same. Has wide implications in metagenomics.
November 7, 2025 at 8:04 PM
Hoping that everyone enjoying Friday. Me reading the Graph machine learning book, submitting new job offers and finishing the last part of the machine learning and this book is really good. This part is not present in RUST 🦀 hence using Python for the same. Has wide implications in metagenomics.
I asked this question and now i am implementing all these dimensional equations and reduction methods in RUST 🦀. Finished implementation on a small dataset and if you can give me the dataset then a full scale method with cross validation using the 3 fold KNN . 🦀 all RUST 🦀 .
November 6, 2025 at 10:43 PM
I asked this question and now i am implementing all these dimensional equations and reduction methods in RUST 🦀. Finished implementation on a small dataset and if you can give me the dataset then a full scale method with cross validation using the 3 fold KNN . 🦀 all RUST 🦀 .
Here is another deep learning model I am writing in Burn 🔥and this address image CNN segmentation and I am working on bringing all my machine learning back in RUST 🦀 and this is to show the next upcoming release I am going to release. It trains on bacterial and fungal genomes as well as others.
November 5, 2025 at 8:11 PM
Here is another deep learning model I am writing in Burn 🔥and this address image CNN segmentation and I am working on bringing all my machine learning back in RUST 🦀 and this is to show the next upcoming release I am going to release. It trains on bacterial and fungal genomes as well as others.
They have build RUST 🦀 based wrapper across the Python ones and used PyO3 which connects the Python function to the RUST 🦀 ones. I recently wrote a SVM classifier for the expression studies see attached for microbial gene expression and that is entirely in RUST 🦀. @drmuth.bsky.social
October 27, 2025 at 11:28 AM
They have build RUST 🦀 based wrapper across the Python ones and used PyO3 which connects the Python function to the RUST 🦀 ones. I recently wrote a SVM classifier for the expression studies see attached for microbial gene expression and that is entirely in RUST 🦀. @drmuth.bsky.social
They have build RUST 🦀 based wrapper across the Python ones and used PyO3 which connects the Python function to the RUST 🦀 ones and not that entire model in RUST. I recently wrote a SVM classifier for the expression studies see attached for microbial gene expression and that is entirely in RUST 🦀.
October 27, 2025 at 11:25 AM
They have build RUST 🦀 based wrapper across the Python ones and used PyO3 which connects the Python function to the RUST 🦀 ones and not that entire model in RUST. I recently wrote a SVM classifier for the expression studies see attached for microbial gene expression and that is entirely in RUST 🦀.
Fascinating, I mainly read about code like the one i read whole this evening. I keep all such on my mobile so that i can read as i want to develop and implement on what others post about. So fascinating to read your posts. Thank you for such enlightening information.
October 23, 2025 at 10:11 PM
Fascinating, I mainly read about code like the one i read whole this evening. I keep all such on my mobile so that i can read as i want to develop and implement on what others post about. So fascinating to read your posts. Thank you for such enlightening information.
Thats a very good one but i believe this. I pick what i like and i keep an eye on that and don’t miss a chance of grabbing that. This is the same in my BlueSky tagline and i follow. Don’t wait and those who wait, don’t take chances and those who take don’t wait.
October 11, 2025 at 7:37 AM
Thats a very good one but i believe this. I pick what i like and i keep an eye on that and don’t miss a chance of grabbing that. This is the same in my BlueSky tagline and i follow. Don’t wait and those who wait, don’t take chances and those who take don’t wait.