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1. awesome-deep-time-series-representations awesome-deep-time-series-representations Public

   A curated list of state-of-the-art papers on deep learning for universal representations of time series.

   202 21

2. DeepAuto-AI/automl-agent DeepAuto-AI/automl-agent Public

   [ICML-25] AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML

   Python 85 14

3. DeepAuto-AI/agentic-predictor DeepAuto-AI/agentic-predictor Public

   [ICLR-26 / MAS @ ICML-25] Agentic Predictor: Multi-View Encoders for Performance Prediction in LLM-Based Agentic Workflows

   JavaScript

4. kaist-dmlab/MONAQ kaist-dmlab/MONAQ Public

   [EMNLP-25 Findings] MONAQ: Multi-Objective Neural Architecture Querying for Time-Series Analysis on Resource-Constrained Devices

   Jupyter Notebook

5. kaist-dmlab/MG-TAR kaist-dmlab/MG-TAR Public

   [IEEE T-ITS] MG-TAR: Multi-view Graph Convolutional Networks for Traffic Accident Risk Prediction

   Python 59 22

6. kaist-dmlab/DF-TAR kaist-dmlab/DF-TAR Public

   [WWW-21] DF-TAR: A Deep Fusion Network for Citywide Traffic Accident Risk Prediction with Dangerous Driving Behavior

   Python 30 12