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WeMM-Embedding is a family of universal multimodal embedding models by the WeChat Vision Team at Tencent, supporting multimodal understanding and retrieval.

  • embedding-models
  • multimodal
  • multimodal-llm

[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

  • self-supervised-learning
  • action-recognition
  • video-understanding
  • masked-autoencoder

Vitis AI is Xilinx’s development stack for AI inference on Xilinx hardware platforms, including both edge devices and Alveo cards.

Interpretability and explainability of data and machine learning models

  • explainable-ai
  • explainable-ml
  • trusted-ai
  • trusted-ml