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18 search results found

Libmtl ⭐ 1,625

A PyTorch Library for Multi-Task Learning

Multi Task Nlp ⭐ 269

multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.

Deepliif ⭐ 126

Deep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification (https://deepliif.org) [Nature Machine Intelligence'22, CVPR'22, MICCAI'23, Histopathology'23]

reference pytorch code for named entity tagging

[CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning

OFASys: A Multi-Modal Multi-Task Learning System for Building Generalist Models

Soft Module ⭐ 45

Code for "Multi-task Reinforcement Learning with Soft Modularization"

Dnn.cool ⭐ 42

A framework for multi-task learning, where you may precondition tasks and compose them into bigger tasks. Conditional objectives and per-task evaluations and interpretations.

What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment

SSM-DTA: Breaking the Barriers of Data Scarcity in Drug-Target Affinity Prediction (Briefings in Bioinformatics 2023)

Knowledgefactor ⭐ 31

[ECCV2022] Factorizing Knowledge in Neural Networks

Cs330 Stanford Deep Multi Task And Meta Learning ⭐ 27

My notes and assignment solutions for Stanford CS330 (Fall 2019 & 2020) Deep Multi-Task and Meta Learning

Ssvep Multi Task Learning ⭐ 25

Using multi-task learning to capture signals simultaneously from the fovea efficiently and the neighboring targets in the peripheral vision generate a visual response map. A calibration-free user-independent solution, desirable for clinical diagnostics. A stepping stone for an objective assessment of glaucoma patients’ visual field.

Pytorch Box2pix ⭐ 17

WIP implementation of "Box2Pix: Single-Shot Instance Segmentation by Assigning Pixels to Object Boxes"

PyTorch implementation of Entire Space Multitask Model (ESMM)

Multitaskmodel ⭐ 9

multi task mode for esmm and mmoe

Multi-task learning for low-frequency extrapolation and elastic model building

Mlexperiments ⭐ 5

Machine learning model implementations using pytorch, fastai, pytorch-lightning

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