Github Discord(We have weekly paper sessions!) For a commercial version with more features, including Docker support and pretraining models for embedding, classification, detection, and segmentation tasks with a single command, please contactsales@lightly.ai. ...
lightly-ai/dagster-lightly-examplePublic NotificationsYou must be signed in to change notification settings Fork0 Star1 main BranchesTags Code README Data Pre-processing Pipeline on AWS with Dagster Data collection and pre-processing pipelines have become increasingly automated in recent years. Lightly'...
"name": "my-prediction-task", // Prediction schema described in https://docs.lightly.ai/docs/prediction-format#prediction-schema // Must contain all categories from the model. "schema": { // Task type, must be "object-detection" for now. "task_type": "object-detection", "categories":...
}, journal={GitHub. Note: https://github.com/lightly-ai/lightly}, year={2020} }About A python library for self-supervised learning on images. docs.lightly.ai/self-supervised-learning/ Topics machine-learning computer-vision deep-learning pytorch embeddings hacktoberfest contributions-welcome ...
title: "Lightly" type: software url: "https://github.com/lightly-ai/lightly" date-released: 2020 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18While the code is focused, press Alt+F1 for a menu of operations.
Preview of a Lightly Insights HTML report. Contribute to lightly-ai/lightly-insights-preview development by creating an account on GitHub.
Used for the tutorial at https://github.com/lightly-ai/lightly-solution-all-in-one-notebook. Copy of the images in https://github.com/alexeygrigorev/clothing-dataset-small in the directory "validation". Thank you @alexeygrigorev !About Some images showing different kinds of cloths. One ...
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Easily get basic insights about your ML dataset. Contribute to lightly-ai/lightly-insights development by creating an account on GitHub.
We added the SimMIM model. It has a very similar architecture to MAE, but it uses a ViT encoder using both masked and non-masked patches as input. Furthermore it has just a simple linear layer as a decoder and uses L1 instead of L2 loss. Models Barlow Twins: Self-Supervised Learning ...