senarvi

Seppo Enarvi's starred repositories

litdata

Transform datasets at scale. Optimize datasets for fast AI model training.

Language:PythonApache-2.026000

GeoTagNinja

A lightweight photo geotagger for Windows.

Language:C#GPL-3.02200

helsinki-testbed2-android

Helsinki Testbed Weather 2.0 - Android application

Language:HTMLGPL-3.0400

segment-anything

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.

Language:Jupyter NotebookApache-2.04566200

hass-swipe-navigation

↔️ Swipe through Home Assistant Dashboard views on mobile.

Language:TypeScriptMIT29100

fiftyone

The open-source tool for building high-quality datasets and computer vision models

Language:PythonApache-2.0791200

webdataset

A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.

Language:PythonBSD-3-Clause211100

AirSense

DIY Zigbee CO2 sensor

Language:CGPL-3.013100

pytorch-CycleGAN-and-pix2pix

Image-to-Image Translation in PyTorch

Language:PythonNOASSERTION2245900

massikassi

Free and anonymous (and Open Source) expense sharer

Language:JavaScript400

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Language:PythonNOASSERTION8054400

iSpindel

electronic Hydrometer

Language:C++NOASSERTION82200

grafana-image-renderer

A Grafana backend plugin that handles rendering of panels & dashboards to PNGs using headless browser (Chromium/Chrome)

Language:TypeScriptApache-2.036100

pipelines

Machine Learning Pipelines for Kubeflow

Language:PythonApache-2.0351400

albumentations

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Language:PythonMIT1378200

hydra

Hydra is a framework for elegantly configuring complex applications

Language:PythonMIT843000

open-smartwatch-gps

Hardware design files for the GPS version of the open-smartwatch

GPL-3.019500

review_object_detection_metrics

Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.

Language:PythonNOASSERTION104200