🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation
- agent
- artificial-intelligence
- multi-agent-systems
- task-automation
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🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation
Talk to any LLM with hands-free voice interaction, voice interruption, and Live2D avatar running locally across platforms
Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
[IROS 2020] se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains
TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments(BIOINFORMATICS 2020) https://doi.org/10.1093/bioinformatics/btaa524
Learning cell communication from spatial graphs of cells
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions