Transformer-MM-Explainability

OpenMMLab Detection Toolbox and Benchmark

A game theoretic approach to explain the output of any machine learning model.

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

Generating Robotic Simulation Tasks via Large Language Models

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

? Scalable embedding, reasoning, ranking for images and sentences with CLIP

BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models

Fit interpretable models. Explain blackbox machine learning.

Effortless data labeling with AI support from Segment Anything and other awesome models.

Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.