Popular GitHub Repositories for Temporal Grounding

OpenMMLab Detection Toolbox and Benchmark

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.

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

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

Time series forecasting with PyTorch

[COLM 2024] OpenAgents: An Open Platform for Language Agents in the Wild

List of tools & datasets for anomaly detection on time-series data.

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

Images to inference with no labeling (use foundation models to train supervised models).

The Cradle framework is a first attempt at General Computer Control (GCC). Cradle supports agents to ace any computer task by enabling strong reasoning abilities, self-improvment, and skill curation, in a standardized general environment with minimal requirements.

[ECCV2024] Video Foundation Models & Data for Multimodal Understanding

Keras Temporal Convolutional Network. Supports Python and R.

An open-source toolbox for action understanding based on PyTorch

novel deep learning research works with PaddlePaddle

Must-have resource for anyone who wants to experiment with and build on the OpenAI vision API ?

A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.