IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning
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Updated
Jun 8, 2024 - Python
IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning
Blogs of Computer Vision methods (CV) and Large Language Models (LLM).
A framework for large scale recommendation algorithms.
This repository hosts materials from the CLiC-IT 2023 tutorial
Datasets collection and preprocessings framework for NLP extreme multitask learning
🤹 MultiTRON: Pareto Front Approximation for Multi-Objective Session-Based Recommender Systems, submitted to ACM RecSys 2024.
High Accuracy and efficiency multi-task fine-tuning framework for Code LLMs. This work has been accepted by KDD 2024.
[IEEE Transactions on Power Systems] Transmission Interface Power Flow Adjustment: A Deep Reinforcement Learning Approach based on Multi-task Attribution Map
Official implementation of "A Backpack Full of Skills: Egocentric Video Understanding with Diverse Task Perspectives", accepted at CVPR 2024.
[WACV 2024] TSP-Transformer: Task-Specific Prompts Boosted Transformer for Holistic Scene Understanding
This is the official code repository for the ACL Findings Paper "Multi-Task Transfer Matters During Instruction-Tuning"
A PyTorch Library for Multi-Task Learning
An up-to-date list of works on Multi-Task Learning
Reproducible material for Meta-Processing: A robust framework for multi-tasks seismic processing
Implementation code for: Towards Compact Autonomous Driving Perception with Balanced Learning and Multi-sensor Fusion, IEEE Trans. Intelligent Transportation Systems, 2022.
Multi Task Learning Time Series Momentum
Official implementation of "Multi-Task Learning as a Bargaining Game" [ICML 2022]
This repository contains notes, slides, labs, assignments and projects for the Deep Learning Specialization by DeepLearning.AI and Coursera.
EQTransformer, a python package for earthquake signal detection and phase picking using AI.
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