calc

Most popular metrics used to evaluate object detection algorithms.

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

Build, customize and control you own LLMs. From data pre-processing to fine-tuning, xTuring provides an easy way to personalize open-source LLMs. Join our discord community: https://discord.gg/TgHXuSJEk6

Implementation of Non-local Block.

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

Therapeutics Commons (TDC-2): Multimodal Foundation for Therapeutic Science

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.

High-fidelity performance metrics for generative models in PyTorch

Neural Network Compression Framework for enhanced OpenVINO? inference

Precision Medicine Knowledge Graph (PrimeKG)