Showing 21-40 of 51 projects
An all-in-one solution for adding Temporal Stability to Stable Diffusion models using an Automatic1111 extension.
An open-source toolbox for action understanding based on PyTorch, focused on computer vision and video analysis.
Temporal Reprojection Anti-Aliasing library for Unity 5.0+ that can improve image quality.
A high-fidelity, temporally coherent video editing library for AI-powered video applications.
A comprehensive collection of research on knowledge graphs, covering various applications and techniques.
A collection of novel deep learning research works using the PaddlePaddle framework for computer vision, NLP, and more.
A Temporal Graph Convolutional Network for predicting urban traffic flow using time-series data.
PaddleVideo is a powerful toolkit for video understanding tasks like action recognition, localization, and detection.
A curated list of papers, tutorials, and surveys on AI for time series analysis and forecasting.
Code and models for Temporal Segment Networks (TSN) for action recognition in video understanding.
An AI-powered video super-resolution model that enhances real-world videos using text-to-video generation.
A temporal-consistent diffusion model for real-world video super-resolution and deflickering.
A JavaScript library for building reinforcement learning agents, covering various RL algorithms.
A comprehensive collection of knowledge graph reasoning resources, including papers, code, and datasets.
Physics-based Deep Learning Book v0.3 - a comprehensive resource for AI developers
VideoLLaMA 2 is a Python library that advances spatial-temporal modeling and audio understanding in video-based large language models.
Trill is a single-node query processor for temporal or streaming data.
Official implementation of a PyTorch-based library for semantic keypoint detection and pose estimation.
Quint is a formal specification language with delightful tooling for building verified software systems.
A Python library for spatio-temporal graph convolutional networks, a type of graph neural network for modeling graph-structured data.
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