Koru
A local-first personal document store built in Go. Original bytes live in a filesystem-backed, SHA-256 content-addressed blob store; metadata and FTS5 search live in SQLite. The goal is local ownership without giving up reliability or recoverability.
Import, search, export, soft delete and restore, tagging, OCR jobs, doctor checks, backup and restore, plus byte-level export integrity verification.
Go · SQLite · FTS5 · OCR · SHA-256 · filesystem blob storage
source·releases
obs-go
A student information system MVP built mainly to learn Go and relational database design. It uses layered REST handlers, service-owned business rules, and PostgreSQL-backed repositories.
Course enrollment is transaction-safe: constraints and pg_advisory_xact_lock handle concurrent registration. Triggers, audit logs, materialized views, and GiST exclusion constraints keep consistency where it belongs—in the database. It is a learning project, not a production reference; there are probably mistakes worth finding.
Go · PostgreSQL · SQL · REST · advisory locks · GiST constraints
source·architecture
İÜ-KİK
Slack existed. A separate institutional coordination system was requested anyway. WhatsApp-style work tracking was moved into announcements, assignments, availability, approvals, audit logs, and notifications.
Role-based workflows cover the system owner, general manager, unit manager, staff, and student assistants. The backend includes an append-only audit ledger, notification outbox, scheduled reminders, admin dashboards, and performance testing with Locust and Prometheus.
FastAPI · PostgreSQL 16 · React Native/Expo · SQLAlchemy · Alembic · Docker
project·original upstream
NeuroPass
First-place NeuroBridge Hackathon project: a drug-screening pipeline built from SMILES inputs for BBB permeability, logBB exposure, and Tox21 toxicity risk. Eighteen classical ML models were trained and compared.
ExtraTrees-based models reached approximately 0.95 AUC in internal evaluation. Probabilistic outputs were combined with medicinal-chemistry rules to provide interpretable risk explanations alongside the predictions.
Python · FastAPI · scikit-learn · Docker · model interpretation
source