Gaurav Sablok Rustacean 🦀
@rustcodepro.bsky.social
He/Him PhD https://github.com/rustcodepro
Bioinformatician Machine/Deep Learning , Data Engineer and Developer. I write my code myself, and ignore senseless typos. Research: https://www.icloud.com/iclouddrive/088QrZHmTgS5_iJv8RpT1-yLg#GauravSablok
Bioinformatician Machine/Deep Learning , Data Engineer and Developer. I write my code myself, and ignore senseless typos. Research: https://www.icloud.com/iclouddrive/088QrZHmTgS5_iJv8RpT1-yLg#GauravSablok
Pinned
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/...
ToxBert: github.com/rustcodepro/... brining you the protein based Bert model for Tox species and genomic predictions using RUST 🦀 and Burn 🔥 deep learning methods. I already coded half of it and will finish the rest and then will release the same. It will also take into the PTM prediction.
November 30, 2025 at 9:54 AM
ToxBert: github.com/rustcodepro/... brining you the protein based Bert model for Tox species and genomic predictions using RUST 🦀 and Burn 🔥 deep learning methods. I already coded half of it and will finish the rest and then will release the same. It will also take into the PTM prediction.
This is my computing setup. As like it stays the same. Will delete this post later but let me know if anyone wants this theme, a rust theme with my colours and combination as you can easy each variable different, types and everything with different colour. I use theme colours design by myself.
November 30, 2025 at 9:24 AM
This is my computing setup. As like it stays the same. Will delete this post later but let me know if anyone wants this theme, a rust theme with my colours and combination as you can easy each variable different, types and everything with different colour. I use theme colours design by myself.
I only read online machine and deep learning for biological sciences and language science and RUST 🦀 for everything and Python 🐍 for machine and deep learning only. I don’t download any book or software from any website. I previously downloaded but since last few months never.👎 as i only code these.
November 29, 2025 at 7:55 PM
I only read online machine and deep learning for biological sciences and language science and RUST 🦀 for everything and Python 🐍 for machine and deep learning only. I don’t download any book or software from any website. I previously downloaded but since last few months never.👎 as i only code these.
A example of convolution DNA neural networks colab.research.google.com/drive/1IQgVP... and going to fit this dataset in RUST 🦀 Burn 🔥 and see the efficiency. Anyone can use as the dataset is available.
November 29, 2025 at 2:50 PM
A example of convolution DNA neural networks colab.research.google.com/drive/1IQgVP... and going to fit this dataset in RUST 🦀 Burn 🔥 and see the efficiency. Anyone can use as the dataset is available.
github.com/MachineLearn... going to implementing all regression models in RUST 🦀 Burn 🔥 for protein engineering and will put auto-encoder and others for protein neural networks. Previously wrote protein analysis in python 🐍 and now in RUST 🦀 using Burn 🔥.
GitHub - MachineLearningLifeScience/protein_regression: The codebase to replicate the analysis of "A systematic analysis of regression models for protein engineering" (2024).
The codebase to replicate the analysis of "A systematic analysis of regression models for protein engineering" (2024). - MachineLearningLifeScience/protein_regression
github.com
November 28, 2025 at 11:43 PM
github.com/MachineLearn... going to implementing all regression models in RUST 🦀 Burn 🔥 for protein engineering and will put auto-encoder and others for protein neural networks. Previously wrote protein analysis in python 🐍 and now in RUST 🦀 using Burn 🔥.
Toxannotator: A complete tox annotator github.com/rustcodepro/... for comparative genomics. You can compare all the toxdb and other database organism whose annotation are the same. Complete coded this evening using RUST 🦀 with python bind so will be available as a python package also.
GitHub - rustcodepro/toxannotator: rustic tox annotator for comparative genomics
rustic tox annotator for comparative genomics. Contribute to rustcodepro/toxannotator development by creating an account on GitHub.
github.com
November 28, 2025 at 8:33 PM
Toxannotator: A complete tox annotator github.com/rustcodepro/... for comparative genomics. You can compare all the toxdb and other database organism whose annotation are the same. Complete coded this evening using RUST 🦀 with python bind so will be available as a python package also.
Seqred: github.com/rustcodepro/... A feature engineering approach to classify the sequential clustering of the heterogeneous data. Going to code this evening and apply a RNN with the cross entropy loss. Most importantly i will put this with the ensemble learning, so a SVM with the RNN.
GitHub - rustcodepro/seqred: sequential clustering of the sequences
sequential clustering of the sequences. Contribute to rustcodepro/seqred development by creating an account on GitHub.
github.com
November 28, 2025 at 8:25 AM
Seqred: github.com/rustcodepro/... A feature engineering approach to classify the sequential clustering of the heterogeneous data. Going to code this evening and apply a RNN with the cross entropy loss. Most importantly i will put this with the ensemble learning, so a SVM with the RNN.
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 Rustacean 🦀
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.
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.
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 Rustacean 🦀
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
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 Rustacean 🦀
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
Reposted by Gaurav Sablok Rustacean 🦀
2 papers submitted - PTM builds & analysis for rice and Plasmodium falciparum. Exploring evolutionary conservation, structure & function
www.biorxiv.org/content/10.1...
www.biorxiv.org/content/10.1...
www.biorxiv.org/content/10.1...
www.biorxiv.org/content/10.1...
November 21, 2023 at 10:01 AM
2 papers submitted - PTM builds & analysis for rice and Plasmodium falciparum. Exploring evolutionary conservation, structure & function
www.biorxiv.org/content/10.1...
www.biorxiv.org/content/10.1...
www.biorxiv.org/content/10.1...
www.biorxiv.org/content/10.1...
Reposted by Gaurav Sablok Rustacean 🦀
tensorzero: TensorZero is an open-source stack for industrial-grade LLM applications. It unifies an LLM gateway, observability, optimization, evaluation, and experimentation. ★9922 https://github.com/tensorzero/tensorzero
tensorzero / tensorzero
TensorZero is an open-source stack for industrial-grade LLM applications. It unifies an LLM gateway, observability, optimization, evaluation, and experimentation.
github.com
September 4, 2025 at 11:33 AM
tensorzero: TensorZero is an open-source stack for industrial-grade LLM applications. It unifies an LLM gateway, observability, optimization, evaluation, and experimentation. ★9922 https://github.com/tensorzero/tensorzero