⤵️ Merge in changes from upstream. Useful for syncing upstream changes to fork.
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
ClearML - Auto-Magical Suite of tools to streamline your ML workflow. Experiment Manager, ML-Ops and Data-Management
Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Review on Object Detection Metrics: 14 object detection metrics including COCO's and PASCAL's metrics. Supporting different bounding box formats.
One Metrics Library to Rule Them All!
No code PyTorch model generation package.
Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.
FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)
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Actions for running CodeQL analysis
Aim — a super-easy way to record, search and compare AI experiments
Reading and rendering output data from LAPPD boards
[CVPR2020] GhostNet: More Features from Cheap Operations
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