《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing

This is a list of resources that utilize machine learning technologies to solve image aesthetic assessment.

[CVPR 2024] Panda-70M: Captioning 70M Videos with Multiple Cross-Modality Teachers

VUE视频通话 VUE3视频通话 Js视频通话 JavaScript视频通话 Web视频通话 网页视频通话 WebRTC视频通话 WebSocket+WebRTC视频通话 SpringBoot+WebSocket+Vue+PeerJs实现WebRTC视频通话功能

[TMM 2023] Self-paced Curriculum Adapting of CLIP for Visual Grounding.

The dataset and baseline code for Text-to-Audio Grounding (TAG)

前沿论文持续更新--视频时刻定位 or 时域语言定位 or 视频片段检索。

Official pytorch repository for "Knowing Where to Focus: Event-aware Transformer for Video Grounding" (ICCV 2023)

Tutorial

VLG-Net: Video-Language Graph Matching Networks for Video Grounding

Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates.

Temporal Moment(Action) Localization via Language / Temporal Language Grounding / Video Moment Retrieval

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

The first unofficial implementation of CLIP4Caption: CLIP for Video Caption (ACMMM 2021)