Abstract: Wind power has emerged as a vital renewable energy source. However, its inherent temporal variability and non-stationarity pose significant challenges for accurate forecasting. To solve this ...
torchange aims to provide out-of-box contemporary spatiotemporal change model implementations, standard metrics, and datasets, in pursuit of benchmarking and reproducibility. This project is still ...
In robotics, movements must be precise and well-controlled. As robots are asked to do more as industry becomes more familiar with the technology, there will be an increasing need for high accuracy ...
A PyTorch implementation of VL-JEPA from the paper "VL-JEPA: Joint Embedding Predictive Architecture for Vision-language" (arXiv:2512.10942v2). vl-jepa/ ├── src/ │ ├── model.py # Core VL-JEPA model ...
Extending One-Step Image Generation from Class Labels to Text via Discriminative Text Representation
Among other things, launching AIModels.fyi ... Find the right AI model for your project - https://aimodels.fyi ...
Abstract: With the growing popularity of high-resolution (HR) video and the continuous growth of network bandwidth, the challenge of object removal detection in HR videos has attracted significant ...
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