- Helsinki, Finland
- https://ksaaskil.github.io
Stars
Graph Neural Networks for Recommender Systems
Best Practices on Recommendation Systems
Curated List of React Components & Libraries.
Predefined Leafler tile layer settings for MML maps from kartat.kapsi.fi TMS service and avoindata.maanmittauslaitos.fi WMTS service
Record audio from a user's microphone and display a cool visualization.
Port of OpenAI's Whisper model in C/C++
Documentation that simply works
Fine-tune SAM (Segment Anything Model) for computer vision tasks such as semantic segmentation, matting, detection ... in specific scenarios
Simple transformer implementation from scratch in pytorch.
Examples and guides for using the OpenAI API
DSPy: The framework for programming—not prompting—language models
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
Notes on books I read, talks I watch, articles I study, and papers I love
Generic repository template for small scale MLOps
Playground for generating cards in the style of "Magic The Gathering" using generative AI
Joining the modern data stack with the modern ML stack
An extremely fast Python linter and code formatter, written in Rust.
Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains
Algorithms for outlier, adversarial and drift detection
Listens MLFlow model registry changes and deploy models based on configurations
CompressAI-Vision helps you design, test and compare Video Compression for Machines pipelines. Compression methods can be either pulled from custom AI-based modules from CompressAI or traditional c…
A light-weight, flexible, and expressive statistical data testing library
Refine high-quality datasets and visual AI models
POCs for different Event-driven architectures