Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning
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Updated
Aug 18, 2024 - Python
Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning
推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning
An educational operating system written in C#. A great stepping stone from high to low level development.
A unified multi-task time series model.
Multi-Task (Joint Segmentation / Depth / Surface Normas) Real-Time Light-Weight RefineNet
[ECCV 2024] InstructIR: High-Quality Image Restoration Following Human Instructions https://huggingface.co/spaces/marcosv/InstructIR
MOE is an event-driven OS for 8/16/32-bit MCUs. MOE means "Minds Of Embedded system", It’s also the name of my lovely baby daughter 😎
Modular, fast NLP framework, compatible with Pytorch and spaCy, offering tailored support for French clinical notes.
Official implementation of "Multi-Task Learning as a Bargaining Game" [ICML 2022]
Multitask Optimization Platform (MToP): A MATLAB Optimization Platform for Evolutionary Multitasking
An up-to-date list of works on Multi-Task Learning
Code for BMVC2021 "MOS: A Low Latency and Lightweight Framework for Face Detection, Landmark Localization, and Head Pose Estimation"
Roof Classification, Segmentation, and Damage Completion using 3D Point Clouds
*SEM 2018: Learning Distributed Event Representations with a Multi-Task Approach
Multi-label classification based on timm.
[SIGIR'24] The official implementation code of MOELoRA.
A large-scale multi-modal pre-trained model
image to images translation - Multi task pix2pix
Multi-label classification based on timm, and add SimCLR to timm.
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