Pinned Repositories
awesome-self-supervised-learning
Curated List of papers on Self-Supervised Representation Learning
dataset_clothing_images
Some images showing different kinds of cloths. One directory per kind of clothes.
dataset_fruits_detection
The dataset includes 8479 images of 6 different fruits (Apple, Grapes, Pineapple, Orange, Banana, and Watermelon). Fruits are annotated in YOLOv8 format.
labelformat
A tool for converting computer vision label formats.
lightly
A python library for self-supervised learning on images.
lightly-insights
Easily get basic insights about your ML dataset
lightly-train
LightlyTrain is the first PyTorch framework to pretrain computer vision models on unlabeled data for industrial applications
Lightly_LabelStudio_AL
uses Lightly and Label Studio to performa a complete AL workflow from dataset scraping to usage
NvidiaTAOActiveLearning
Tutorial on active learning with the Nvidia Train, Adapt, and Optimize (TAO) toolkit.
NvidiaTLTActiveLearning
Tutorial on active learning with the Nvidia Transfer Learning Toolkit (TLT).
Lightly's Repositories
lightly-ai/lightly
A python library for self-supervised learning on images.
lightly-ai/lightly-train
LightlyTrain is the first PyTorch framework to pretrain computer vision models on unlabeled data for industrial applications
lightly-ai/labelformat
A tool for converting computer vision label formats.
lightly-ai/lightly-insights
Easily get basic insights about your ML dataset
lightly-ai/Lightly_LabelStudio_AL
uses Lightly and Label Studio to performa a complete AL workflow from dataset scraping to usage
lightly-ai/NvidiaTLTActiveLearning
Tutorial on active learning with the Nvidia Transfer Learning Toolkit (TLT).
lightly-ai/awesome-self-supervised-learning
Curated List of papers on Self-Supervised Representation Learning
lightly-ai/NvidiaTAOActiveLearning
Tutorial on active learning with the Nvidia Train, Adapt, and Optimize (TAO) toolkit.
lightly-ai/dataset_fruits_detection
The dataset includes 8479 images of 6 different fruits (Apple, Grapes, Pineapple, Orange, Banana, and Watermelon). Fruits are annotated in YOLOv8 format.
lightly-ai/dagster-lightly-example
lightly-ai/dataset_clothing_images
Some images showing different kinds of cloths. One directory per kind of clothes.
lightly-ai/lightly-insights-preview
Preview of a Lightly Insights HTML report
lightly-ai/lightly-solution-all-in-one-notebook
A self-contained Jupyter notebook for running the whole Lightly solution including the installation.
lightly-ai/object_detection_example_structure
Example of folder structure of a complete run on DeepSportRadar Instance Segmentation Challenge dataset
lightly-ai/prediction-models
Create Lightly prediction files with custom prediction models
lightly-ai/RocketBase-Tutorials
lightly-ai/.github
lightly-ai/dataset_examples_purple
Example datasets for Project Purple
lightly-ai/dataset_examples_studio
lightly-ai/DriveAGI
[Incl. GenAD, CVPR 2024 Highlight] Embracing Foundation Models into Autonomous Agent and System
lightly-ai/gists
Repo for organization utility scripts executed as gists
lightly-ai/pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
lightly-ai/rf-detr
RF-DETR is a real-time object detection model architecture developed by Roboflow, SOTA on COCO & designed for fine-tuning.
lightly-ai/ultralytics
Ultralytics YOLO11 🚀
lightly-ai/yolov12
YOLOv12: Attention-Centric Real-Time Object Detectors