- Stockholm, Sweden
- https://www.linkedin.com/in/anders-huss-97328391
Stars
Code for "gen2seg: Generative Models Enable Generalizable Instance Segmentation"
User friendly Rasterio plugin to read raster datasets.
CLI platform to experiment with codegen. Precursor to: https://lovable.dev
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Full stack, modern web application template. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS and more.
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Keras library for building (Universal) Transformers, facilitating BERT and GPT models
Implementation of BERT that could load official pre-trained models for feature extraction and prediction
TensorFlow code and pre-trained models for BERT
A Tox plugin that builds and installs wheels instead of sdist. Note that this plugin is obsolte as tox 4.0 already has wheel support.
Tiny, simple static file server using environment variables for configuration
Utility library for gitignore style pattern matching of file paths.
API and CLI for generating a markdown TOC (table of contents) for a README or any markdown files. Uses Remarkable to parse markdown. Used by NASA/openmct, Prisma, Joi, Mocha, Sass, Prettier, Orbit …
Run Keras models in the browser, with GPU support using WebGL
A Scala feature transformation library for data science and machine learning