Awesome Open Source

Programming Languages

Search results for python multitask learning

multitask-learning x

54 search results found

Decanlp ⭐ 2,330

The Natural Language Decathlon: A Multitask Challenge for NLP

Yolop ⭐ 1,658

You Only Look Once for Panopitic Driving Perception.（MIR2022）

Libmtl ⭐ 1,625

A PyTorch Library for Multi-Task Learning

Hybridnets ⭐ 516

HybridNets: End-to-End Perception Network

Omninet ⭐ 426

Official Pytorch implementation of "OmniNet: A unified architecture for multi-modal multi-task learning" | Authors: Subhojeet Pramanik, Priyanka Agrawal, Aman Hussain

Deep_white_balance ⭐ 418

Reference code for the paper: Deep White-Balance Editing (CVPR 2020). Our method is a deep learning multi-task framework for white-balance editing.

Fast Best-Subset Selection Library

Chinesener ⭐ 274

中文NER的那些事儿

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.

Multitask Recommendation Library ⭐ 132

MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.

Deepliif ⭐ 126

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

[CVPR2023] Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective

Official PyTorch Implementation for Conflict-Averse Gradient Descent (CAGrad)

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

[ECCV 2020] Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance

Auxilearn ⭐ 68

Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]

Instructdial ⭐ 67

Code for the paper Code for the paper InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning

Jointidsf ⭐ 53

BERT-based joint intent detection and slot filling with intent-slot attention mechanism (INTERSPEECH 2021)

Official PyTorch Implementation for Fast Adaptive Multitask Optimization (FAMO)

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.

Taskrouting ⭐ 41

(ICCV 2019 Oral) Many Task Learning With Task Routing http://openaccess.thecvf.com/content_ICCV_2019/htm

Eccv_aeris ⭐ 41

[ECCV 2022] Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object Detection

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

Code for our IEEE TIP 2020 paper "Dynamic Feature Integration for Simultaneous Detection of Salient Object, Edge and Skeleton"

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

Redformer ⭐ 32

Official codebase for the paper 'Radar Enlighten the Dark: Enhancing Low-Visibility Perception for Automated Vehicles with Camera-Radar Fusion

Universalrepresentations ⭐ 31

Universal Representations: A Unified Look at Multiple Task and Domain Learning

Knowledgefactor ⭐ 31

[ECCV2022] Factorizing Knowledge in Neural Networks

Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data

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.

Multi-Task Learning package built with tensorflow 2 (Multi-Gate Mixture of Experts, Cross-Stitch, Ucertainty Weighting)

Densemtl ⭐ 21

Cross-task Attention Mechanism for Dense Multi-task Learning (WACV 2023)

Multitask Learning Protein Prediction ⭐ 19

Multitask learning: protein secondary structure prediction, b-values prediction and solvent-accessibility prediction

Multitask_disfluency_detection ⭐ 18

Code for the paper "Multi-Task Learning for Domain-General Spoken Disfluency Detection in Dialogue Systems" (Igor Shalyminov, Arash Eshghi, and Oliver Lemon)

Event Embedding Multitask ⭐ 17

*SEM 2018: Learning Distributed Event Representations with a Multi-Task Approach

Pytorch Box2pix ⭐ 17

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

Repo for "Zemi: Learning Zero-Shot Semi-Parametric Language Models from Multiple Tasks" ACL 2023 Findings

Code for "A Framework for Controllable Pareto Front Learning with Completed Scalarization Functions and its Applications"

This is the official implementation of Real-time Earthquake Detection and Phase-picking with multi-task Attention Network

PyTorch implementation of Entire Space Multitask Model (ESMM)

Multi-task model for named-entity recognition, relation extraction, entity mention detection and coreference resolution.

2021 Icyp Mfe ⭐ 10

Source code and data of the paper entitled "iCYP-MFE: Identifying Human Cytochrome P450 Inhibitors using Multi-task Learning and Molecular Fingerprint-embedded Encoding"

Generalizing to New Physical Systems via Context-Informed Dynamics Model

Multitaskmodel ⭐ 9

multi task mode for esmm and mmoe

Multi-Task Pre-Training of Modular Prompt for Few-Shot Learning

Intent_and_slot_classification ⭐ 8

One of the main NLU tasks is to understand the intents (sequence classification) and slots (entities within the sequence). This repo help classify both together using Joint Model (multitask model). BERT_SMALL is used which can be changed to any other BERT variant.

Fbc2_aij2022 ⭐ 6

FusionBrain Challenge 2.0: creating multimodal multitask model

Iros2018_ws ⭐ 6

End-to-end multimodal emotion and gender recognition with dynamic weights of joint loss

Rockfall and earthquake detection and association via multitask learning and transfer learning

Visual Question Answering System

Multitask_modelzoo ⭐ 5

Implementation of https://arxiv.org/abs/2106.03027

Related Searches

Python Deep Learning (17,884)

Python Dataset (14,792)

Python Machine Learning (14,099)

Python Tensorflow (13,736)

Python Natural Language Processing (9,064)

Python Artificial Intelligence (8,580)

Python Pytorch (7,877)

Python Neural (7,444)

Python Convolutional Neural Networks (6,866)

Python Keras (6,821)

1-54 of 54 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2024 Awesome Open Source. All rights reserved.