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.

An educational operating system written in C#. A great stepping stone from high to low level development.

Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning

InstructIR: High-Quality Image Restoration Following Human Instructions https://huggingface.co/spaces/marcosv/InstructIR

A unified time series model.

An up-to-date list of works on Multi-Task Learning

Multi-Task (Joint Segmentation / Depth / Surface Normas) Real-Time Light-Weight RefineNet

Official implementation of "Multi-Task Learning as a Bargaining Game" [ICML 2022]

Code for BMVC2021 "MOS: A Low Latency and Lightweight Framework for Face Detection, Landmark Localization, and Head Pose Estimation"

A large-scale multi-modal pre-trained model

Multi-label classification based on timm.

Modular, fast NLP framework, compatible with Pytorch and spaCy, offering tailored support for French clinical notes.

Multitask Optimization Platform (MToP)

[SIGIR'24] The official implementation code of MOELoRA.

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 😎

🤖📇 handling multiple nlp task in one pipeline

Roof Classification, Segmentation, and Damage Completion using 3D Point Clouds

Dual core concurrent multi-task processing of continuous real-time audio on the ESP-32

Multi-label classification based on timm, and add SimCLR to timm.