Gaurav Sablok
@rustcodepro.bsky.social
He/Him PhD https://github.com/rustcodepro
RUST 🦀 Bioinformatician Machine and Deep Learning
Data Engineer and Developer
https://www.icloud.com/iclouddrive/088QrZHmTgS5_iJv8RpT1-yLg#GauravSablok
read replies. I write code myself, and ignore typos.
RUST 🦀 Bioinformatician Machine and Deep Learning
Data Engineer and Developer
https://www.icloud.com/iclouddrive/088QrZHmTgS5_iJv8RpT1-yLg#GauravSablok
read replies. I write code myself, and ignore typos.
Pinned
Gaurav Sablok
@rustcodepro.bsky.social
· Oct 25
Actively submitting and immediately accepting the job offers from the submitted job offers, chances, positions and opportunities in Bioinformatics, Computational Biology and Genomics and I prefer academics and research. A complete updated research job: www.icloud.com/iclouddrive/...
Just finished coding the encoder and pushed the commit. A totally different way of using sparse matrix association for the classification of variant associated sequences. This is for all genomes including pan genomes. Have a look, wrote the conceptual algorithm and then coded.
EncoderB: github.com/rustcodepro/... This evening I am writing a new way of combining the variation autoencoder and classification encoder such as CAE and VAE into a mixed state encoder for the sequence labeling deep learning using RUST 🦀 and Burn 🔥and tch.
GitHub - rustcodepro/encoderb: autoencoder and classifier for bioinformatics
autoencoder and classifier for bioinformatics. Contribute to rustcodepro/encoderb development by creating an account on GitHub.
github.com
November 27, 2025 at 10:31 PM
Just finished coding the encoder and pushed the commit. A totally different way of using sparse matrix association for the classification of variant associated sequences. This is for all genomes including pan genomes. Have a look, wrote the conceptual algorithm and then coded.
@bffo.bsky.social thats really good. I just finished the egraph and pushed and i have a idea that this dataset can be modeled for all pathogenic class conversion using Cyclic GAN Generative Adversial Network using RUST 🦀 and Burn 🔥. github.com/rustcodepro/...
November 27, 2025 at 7:38 PM
@bffo.bsky.social thats really good. I just finished the egraph and pushed and i have a idea that this dataset can be modeled for all pathogenic class conversion using Cyclic GAN Generative Adversial Network using RUST 🦀 and Burn 🔥. github.com/rustcodepro/...
A machine learning crate to prepare and classify variants for machine and deep learning coming from the variant annotation for population genomics of humans. github.com/rustcodepro/... coming from the annotation of the eVai annotator and the same annotation format.
GitHub - rustcodepro/egraph: eVai variant machine learning
eVai variant machine learning. Contribute to rustcodepro/egraph development by creating an account on GitHub.
github.com
November 27, 2025 at 8:32 AM
A machine learning crate to prepare and classify variants for machine and deep learning coming from the variant annotation for population genomics of humans. github.com/rustcodepro/... coming from the annotation of the eVai annotator and the same annotation format.
EncoderB: github.com/rustcodepro/... This evening I am writing a new way of combining the variation autoencoder and classification encoder such as CAE and VAE into a mixed state encoder for the sequence labeling deep learning using RUST 🦀 and Burn 🔥and tch.
GitHub - rustcodepro/encoderb: autoencoder and classifier for bioinformatics
autoencoder and classifier for bioinformatics. Contribute to rustcodepro/encoderb development by creating an account on GitHub.
github.com
November 27, 2025 at 8:29 AM
EncoderB: github.com/rustcodepro/... This evening I am writing a new way of combining the variation autoencoder and classification encoder such as CAE and VAE into a mixed state encoder for the sequence labeling deep learning using RUST 🦀 and Burn 🔥and tch.
I like to keep the same handle across all the codedev, so my new handle at the Github also reflects the same. github.com/rustcodepro. Easy to remember and code means what you are writing in computer and pro means program. This allows easy way to remember if you give around.
rustcodepro - Overview
RUST 🦀 Bioinformatician| Computational Biology | Scientific Developer | AI/ML/DL | Data Engineer - rustcodepro
github.com
November 26, 2025 at 8:41 AM
I like to keep the same handle across all the codedev, so my new handle at the Github also reflects the same. github.com/rustcodepro. Easy to remember and code means what you are writing in computer and pro means program. This allows easy way to remember if you give around.
Reposted by Gaurav Sablok
Seqboost: github.com/omicscode/se... A GRU and boosting approach to ensembl the clustering of the graphs. This evening writing this code and implementing all this in a single crate. A classification approach to identify the graph based partitioning.
GitHub - omicscode/seqboost: bagging mers for boosting
bagging mers for boosting. Contribute to omicscode/seqboost development by creating an account on GitHub.
github.com
November 25, 2025 at 8:59 AM
Seqboost: github.com/omicscode/se... A GRU and boosting approach to ensembl the clustering of the graphs. This evening writing this code and implementing all this in a single crate. A classification approach to identify the graph based partitioning.
Reposted by Gaurav Sablok
Can any technology such as AI, money, power or anything can bring the time back. So before you believe and not approach and talk by yourself and waste your life and energy, think without approaching and talking you cant build anything and no one can bring the wasted time back. So don’t waste.
November 3, 2025 at 7:59 AM
Can any technology such as AI, money, power or anything can bring the time back. So before you believe and not approach and talk by yourself and waste your life and energy, think without approaching and talking you cant build anything and no one can bring the wasted time back. So don’t waste.
Seqboost: github.com/omicscode/se... A GRU and boosting approach to ensembl the clustering of the graphs. This evening writing this code and implementing all this in a single crate. A classification approach to identify the graph based partitioning.
GitHub - omicscode/seqboost: bagging mers for boosting
bagging mers for boosting. Contribute to omicscode/seqboost development by creating an account on GitHub.
github.com
November 25, 2025 at 8:59 AM
Seqboost: github.com/omicscode/se... A GRU and boosting approach to ensembl the clustering of the graphs. This evening writing this code and implementing all this in a single crate. A classification approach to identify the graph based partitioning.
RUST 🦀Shap: github.com/omicscode/ru.... A rust way to implement the shap and now it implements both deep method also. Preparing for the final release.
GitHub - omicscode/rustshap: rust implementation of shap
rust implementation of shap. Contribute to omicscode/rustshap development by creating an account on GitHub.
github.com
November 24, 2025 at 10:02 AM
RUST 🦀Shap: github.com/omicscode/ru.... A rust way to implement the shap and now it implements both deep method also. Preparing for the final release.
Smartrun: github.com/omicscode/sm... going to code this evening after submitting job offers and will bring a smart crate today. In the last week, i code back so much RUST 🦀 machine and deep learning that i am remember almost even without opening. Write your code yourself, i believe so.
GitHub - omicscode/smartrun: machine learning classifier and regressor
machine learning classifier and regressor. Contribute to omicscode/smartrun development by creating an account on GitHub.
github.com
November 24, 2025 at 8:34 AM
Smartrun: github.com/omicscode/sm... going to code this evening after submitting job offers and will bring a smart crate today. In the last week, i code back so much RUST 🦀 machine and deep learning that i am remember almost even without opening. Write your code yourself, i believe so.
PyTorch: d2l.ai/index.html and uvadlc-notebooks.readthedocs.io/en/latest/ and www.tomasbeuzen.com/deep-learnin... you can find almost all what is needed for the PyTorch. These i read a lot while writing machine learning in Python 🐍 and now i am writing in RUST 🦀 Burn 🔥 and Tch but still read.
November 23, 2025 at 3:53 PM
PyTorch: d2l.ai/index.html and uvadlc-notebooks.readthedocs.io/en/latest/ and www.tomasbeuzen.com/deep-learnin... you can find almost all what is needed for the PyTorch. These i read a lot while writing machine learning in Python 🐍 and now i am writing in RUST 🦀 Burn 🔥 and Tch but still read.
Most daunting task of all time Bioinformatician, Developer, machine and deep learning developer is to update the system every week so that all dependencies are satisfied. Spent 3-4 hours today evening to update my system after a long time. Most lethargic task but you have to do.
I dont use chatbots but i write a lot of algorithm first by hand and then code along as that enables me to remember everything. Will delete this later but illustrating that if you want to do it more and remember make a habit if writing as the more you write the more you remember.
November 21, 2025 at 9:03 PM
Most daunting task of all time Bioinformatician, Developer, machine and deep learning developer is to update the system every week so that all dependencies are satisfied. Spent 3-4 hours today evening to update my system after a long time. Most lethargic task but you have to do.
When not writing RUST 🦀, i am continually reading the python version here: www.datasciencebase.com. Very detailed, quickly refresh yourself if you already know This version is my go to read in free time so that as i said sync machine learning across all the languages i code allowing flexibility.
Welcome to DataScienceBase | DataScienceBase
Your gateway to mastering data science, from fundamentals to advanced topics.
www.datasciencebase.com
November 19, 2025 at 11:14 PM
When not writing RUST 🦀, i am continually reading the python version here: www.datasciencebase.com. Very detailed, quickly refresh yourself if you already know This version is my go to read in free time so that as i said sync machine learning across all the languages i code allowing flexibility.
All stats you need for machine abd deep learning: All stats are enabled in these crates github.com/liborty/rstats and which are missing are present in these crates. crates.io/crates/incr_... and crates.io/crates/scirs...
GitHub - liborty/rstats: Statistics, Information Measures, Linear Algebra, Cholesky Matrix Decomposition, Mahalanobis Distance, Householder QR Decomposition, Clifford Algebra, Multidimensional Data An...
Statistics, Information Measures, Linear Algebra, Cholesky Matrix Decomposition, Mahalanobis Distance, Householder QR Decomposition, Clifford Algebra, Multidimensional Data Analysis, Geometric Medi...
github.com
November 18, 2025 at 12:16 AM
All stats you need for machine abd deep learning: All stats are enabled in these crates github.com/liborty/rstats and which are missing are present in these crates. crates.io/crates/incr_... and crates.io/crates/scirs...
Webml: github.com/omicscode/we... a collabroation with @nate-fe2o3.bsky.social a way to disseminate the machine learning. Production grade and will be ready by mid of this week.
GitHub - omicscode/webml: neural network with wasm
neural network with wasm. Contribute to omicscode/webml development by creating an account on GitHub.
github.com
November 17, 2025 at 10:57 PM
Webml: github.com/omicscode/we... a collabroation with @nate-fe2o3.bsky.social a way to disseminate the machine learning. Production grade and will be ready by mid of this week.
DGNseq: github.com/omicscode/dg... writing and coding all the graph attention networks in Burn 🔥and RUST 🦀. This is for both DNA and Protein. Converting all my python code to Burn. This evening this much code writing after reading took 3-4 hours as no native libraries are there andyou have to write.
GitHub - omicscode/dgnseq: graph attention network for seq models
graph attention network for seq models. Contribute to omicscode/dgnseq development by creating an account on GitHub.
github.com
November 16, 2025 at 9:26 PM
DGNseq: github.com/omicscode/dg... writing and coding all the graph attention networks in Burn 🔥and RUST 🦀. This is for both DNA and Protein. Converting all my python code to Burn. This evening this much code writing after reading took 3-4 hours as no native libraries are there andyou have to write.
Reposted by Gaurav Sablok
Another great episode of Rust in Production. This time they talk about a large scale migration of web hook infra from Python to Rust. Listen in to find out all about the improvements, drawbacks and everything in between!
Svix with Tom Hacohen - Rust in Production Podcast | corrode Rust Consulting
We don’t usually think much about Webhooks – at least I don’t.
It’s just web requests after all, right?
In reality, there is a lot of complexity behind routing webhook requests through the internet.
W...
corrode.dev
May 1, 2025 at 5:29 PM
Another great episode of Rust in Production. This time they talk about a large scale migration of web hook infra from Python to Rust. Listen in to find out all about the improvements, drawbacks and everything in between!
github.com/omicscode/ba...
Last Friday I finished the Graph machine learning book, i posted on Bluesky, to revise my previous python graph machine learning and this Friday i coded in RUST 🦀. BactGraph: Graph machine learning to the bacterial metagenomics cluster
Last Friday I finished the Graph machine learning book, i posted on Bluesky, to revise my previous python graph machine learning and this Friday i coded in RUST 🦀. BactGraph: Graph machine learning to the bacterial metagenomics cluster
GitHub - omicscode/bactgraph: kmeans graph clustering for bacterial metagenomics
kmeans graph clustering for bacterial metagenomics - omicscode/bactgraph
github.com
November 14, 2025 at 7:51 PM
github.com/omicscode/ba...
Last Friday I finished the Graph machine learning book, i posted on Bluesky, to revise my previous python graph machine learning and this Friday i coded in RUST 🦀. BactGraph: Graph machine learning to the bacterial metagenomics cluster
Last Friday I finished the Graph machine learning book, i posted on Bluesky, to revise my previous python graph machine learning and this Friday i coded in RUST 🦀. BactGraph: Graph machine learning to the bacterial metagenomics cluster
RUST ❤️ course going to read this evening: a quick refreshing read and the more you read carefully the more you can find new features. Learning programming language never ends as it keeps evolving and so you should be updated. github.com/Kobzol/rust-...
GitHub - Kobzol/rust-course-fei: Rust course taught at FEI VŠB-TUO.
Rust course taught at FEI VŠB-TUO. Contribute to Kobzol/rust-course-fei development by creating an account on GitHub.
github.com
November 14, 2025 at 4:38 PM
RUST ❤️ course going to read this evening: a quick refreshing read and the more you read carefully the more you can find new features. Learning programming language never ends as it keeps evolving and so you should be updated. github.com/Kobzol/rust-...
Imageproc : github.com/image-rs/image the only crate you need to generate alignment to structure foldings in RUST 🦀 . Wrote a small piece and tested it. Courtsey of visual code on iPhone supports RUST 🦀 and also running and debugging.
GitHub - image-rs/image: Encoding and decoding images in Rust
Encoding and decoding images in Rust. Contribute to image-rs/image development by creating an account on GitHub.
github.com
November 14, 2025 at 12:11 AM
Imageproc : github.com/image-rs/image the only crate you need to generate alignment to structure foldings in RUST 🦀 . Wrote a small piece and tested it. Courtsey of visual code on iPhone supports RUST 🦀 and also running and debugging.
github.com/rusteomics/m... Started to write the Deep neural network for Proteomics and also integrating the labeling from the proteomics based edges to node ratio from the proteomics map.
GitHub - rusteomics/mzcore: A Rust library for peptide centric mass spec calculations centered around PSI standards and handling complex cases robustly
A Rust library for peptide centric mass spec calculations centered around PSI standards and handling complex cases robustly - rusteomics/mzcore
github.com
November 13, 2025 at 10:48 AM
github.com/rusteomics/m... Started to write the Deep neural network for Proteomics and also integrating the labeling from the proteomics based edges to node ratio from the proteomics map.
a autoencoder and decoder approach to address the bacterial metagenomics association yo the observed parameters. Basically a variation encoder in tch RUST 🦀https://github.com/omicscode/bacencode
GitHub - omicscode/bacencode: autoencoder and decoder approach to address dimensionality reduction
autoencoder and decoder approach to address dimensionality reduction - omicscode/bacencode
github.com
November 13, 2025 at 7:06 AM
a autoencoder and decoder approach to address the bacterial metagenomics association yo the observed parameters. Basically a variation encoder in tch RUST 🦀https://github.com/omicscode/bacencode
Reposted by Gaurav Sablok
google / comprehensive-rust: This is the Rust course used by the Android team at Google. It provides you the material to quickly teach Rust. ★32103 https://github.com/google/comprehensive-rust
google / comprehensive-rust
This is the Rust course used by the Android team at Google. It provides you the material to quickly teach Rust.
github.com
October 3, 2025 at 5:25 PM
google / comprehensive-rust: This is the Rust course used by the Android team at Google. It provides you the material to quickly teach Rust. ★32103 https://github.com/google/comprehensive-rust
github.com/grafana/augurs This crate has a function for removing entire series as a outlier. In case of bacterial and other species time series analysis where the bacterial expression is related to the Metagenomics abundance and MAG, the good way to remove outliers before making tensor shape.
GitHub - grafana/augurs: Time series analysis for Rust, with bindings to Python and Javascript
Time series analysis for Rust, with bindings to Python and Javascript - grafana/augurs
github.com
November 9, 2025 at 11:45 PM
github.com/grafana/augurs This crate has a function for removing entire series as a outlier. In case of bacterial and other species time series analysis where the bacterial expression is related to the Metagenomics abundance and MAG, the good way to remove outliers before making tensor shape.