We introduce Merlion, an open-source machine learning library for time series.
We introduce a robust, real-time, high-resolution human video matting method that achieves new state-of-the-art performance.
Ranked #1 on Video Matting on VideoMatte240K
Generative Adversarial Networks (GANs) can generate near photo realistic images in narrow domains such as human faces.
Ranked #1 on Unconditional Image Generation on ImageNet 128x128
In recent years, several high-performance conversational systems have been proposed based on the Transformer encoder-decoder model.
It is the result from the merger of the two most popular packages for stream learning in Python: Creme and scikit-multiflow.
Furthermore, based on LibFewShot, we provide comprehensive evaluations on multiple benchmark datasets with multiple backbone architectures to evaluate common pitfalls and effects of different training tricks.
Though many attempts have been made in blind super-resolution to restore low-resolution images with unknown and complex degradations, they are still far from addressing general real-world degraded images.