hacktoberfest
The Hacktoberfest Hyderabad starter repo, where I learned Git, GitHub and how to open a first pull request.
Public work / 2019—2026
All 28 public repositories on my GitHub account, oldest first. Dates are when each repo was created, which isn't always when the work started.
2019
The Hacktoberfest Hyderabad starter repo, where I learned Git, GitHub and how to open a first pull request.
A fork of a list of beginner-friendly open-source projects.
2021
A job board built on the MERN stack, with a separate REST backend and frontend.
A fork of a blockchain web app.
A fork of a Telegram group-admin bot written in Python with SQLAlchemy.
A two-player rocket game in Pygame. Players take turns dodging obstacles across several levels.
Another Telegram bot, forked from tgbot.
A shell script that restarts Spotify whenever an ad starts playing.
A Breakout clone in Python.
Drug–target affinity experiments on the DAVIS and KIBA datasets: similarity matrices, data splits, preprocessing and trained models.
Three assignments and notes from my operating systems and networks course.
My dotfiles, pieced together from a few well-known setups.
2022
A PyTorch and OpenCV CNN that reads several handwritten digits at once. The best result was 76.38%.
Dataset splits, reproductions and ablations of DeepDTA, GraphDTA, Pafnucy and SimCNN-DTA for binding-affinity prediction.
My GitHub profile README, with a link to this site and some account stats.
This website, from the template I started with to the version you're reading.
A public summary of the Brain Encoding and Decoding using Speech Data project. The research code itself is private.
Copies of the ESOL and Tox21 molecular datasets.
A Three.js prototype for placing atoms and building repeating crystal structures.
Course projects on explainable drug–target models and symmetry-aware reinforcement learning.
2023
Teaching notebooks covering NumPy, scikit-learn, RDKit, PyTorch, LSTMs and CNNs, with classification and molecular regression exercises.
All the research code for the spectra–molecule project: EGNN and ViT encoders, a SMILES decoder, contrastive training, reconstruction, retrieval and the HPC runs.
My setup of jstrieb/github-stats, which draws GitHub stats using GitHub Actions.
A small relational database, built in stages for a Data Systems course.
A public page for my Apple Vision Pro molecule viewer. The code is private.
2024
Training code for the spectra-to-structure paper, set up so the results can be reproduced from config files.
2026
Colors manga panels right on the page. A Chrome extension talks to a FastAPI service running a GAN on your own machine.
A small Pygame environment that records frames, actions and object movement, to train JEPA models on later.