Wiktor Kamiński's starred repositories
tech-interview-handbook
💯 Curated coding interview preparation materials for busy software engineers
remotestorage.js
⬡ JavaScript client library for integrating remoteStorage in apps
crdt-benchmarks
A collection of CRDT benchmarks
WatermelonDB
🍉 Reactive & asynchronous database for powerful React and React Native apps ⚡️
replicache
Realtime Sync for Any Backend Stack
google-play-scraper
Google play scraper for Python inspired by <facundoolano/google-play-scraper>
impira-python
Impira Python SDK
layoutlmv3
This Repository consists of all my experiments performed on LayoutLMv3 model.
screen_annotation
The Screen Annotation dataset consists of pairs of mobile screenshots and their annotations. The annotations are in text format, and describe the UI elements present on the screen: their type, location, OCR text and a short description. It has been introduced in the paper `ScreenAI: A Vision-Language Model for UI and Infographics Understanding`.
tinysearch
🔍 Tiny, full-text search engine for static websites built with Rust and Wasm
TimeVQVAE-AnomalyDetection
[official] PyTorch implementation of TimeVQVAE-AD, a time series anomaly detection model.
Explaining-deep-learning-models-for-detecting-anomalies-in-time-series-data-RnD-project
This research work focuses on comparing the existing approaches to explain the decisions of models trained using time-series data and proposing the best-fit method that generates explanations for a deep neural network. The proposed approach is used specifically for explaining LSTM networks for anomaly detection task in time-series data (satellite telemetry data).