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The Natural Language Decathlon: A Multitask Challenge for NLP
Created
2018-06-20
110 commits to master branch, last one 3 years ago
A PyTorch Library for Multi-Task Learning
Created
2021-12-18
168 commits to main branch, last one about a month ago
You Only Look Once for Panopitic Driving Perception.(MIR2022)
Created
2021-08-25
65 commits to main branch, last one about a year ago
jiant is an nlp toolkit
Created
2018-06-18
1,930 commits to master branch, last one 2 years ago
PromptCLUE, 全中文任务支持零样本学习模型
Created
2022-09-29
84 commits to main branch, last one about a year ago
HybridNets: End-to-End Perception Network
Created
2021-12-23
227 commits to main branch, last one 11 months ago
BERT for Multitask Learning
Created
2018-11-29
535 commits to master branch, last one about a year ago
Reference code for the paper: Deep White-Balance Editing (CVPR 2020). Our method is a deep learning multi-task framework for white-balance editing.
Created
2020-04-19
17 commits to master branch, last one about a year ago
Crosslingual Generalization through Multitask Finetuning
Created
2022-10-18
33 commits to master branch, last one 2 months ago
Fast Best-Subset Selection Library
r
python
scikit-learn
cox-regression
machine-learning
feature-selection
linear-regression
multitask-learning
ordinal-regression
poisson-regression
logistic-regression
polynomial-algorithm
best-subset-selection
high-dimensional-data
classification-algorithm
sure-independence-screening
principal-component-analysis
robust-principal-component-analysis
sparse-principal-component-analysis
Created
2020-12-20
2,762 commits to master branch, last one 2 months ago
multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.
Created
2020-03-31
88 commits to master branch, last one 4 years ago
A list of multi-task learning papers and projects.
Created
2020-08-24
60 commits to master branch, last one 2 years ago
中文NER的那些事儿
Created
2021-04-17
91 commits to main branch, last one about a year ago
MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.
Created
2022-03-06
15 commits to main branch, last one about a year ago
Benchmarking Knowledge Transfer in Lifelong Robot Learning
Created
2023-04-08
38 commits to master branch, last one 11 months ago
[ECCV 2020] Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance
Created
2020-07-06
10 commits to master branch, last one 3 years ago
[CVPR2023] Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective
Created
2023-02-28
80 commits to main branch, last one about a month ago
Deep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification (https://deepliif.org) [Nature Machine Intelligence'22, CVPR'22, MICCAI'23, Histopathology'23, MICCAI'24]
pytorch
ai-ready
datasets
multiplex
pathology
stitching
cell-biology
segmentation
deep-learning
pathology-gan
pathology-image
super-resolution
cell-segmentation
digital-pathology
image-segmentation
multitask-learning
whole-slide-imaging
immunohistochemistry
cloud-native-applications
immunohistochemical-images
Created
2021-04-15
456 commits to main branch, last one 22 days ago
This in my Demo of Chen et al. "GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks" ICML 2018
Created
2018-09-23
11 commits to master branch, last one 3 years ago
Library for Jacobian descent with PyTorch. It enables optimization of neural networks with multiple losses (e.g. multi-task learning).
Created
2024-06-01
160 commits to main branch, last one 2 days ago
OFASys: A Multi-Modal Multi-Task Learning System for Building Generalist Models
Created
2022-12-08
48 commits to main branch, last one about a year ago
[ICML 2020] Efficient Continuous Pareto Exploration in Multi-Task Learning
Created
2020-02-11
6 commits to master branch, last one 3 years ago
multi task mode for esmm and mmoe
Created
2021-04-21
8 commits to main branch, last one 3 years ago
[SIGIR'24] The official implementation code of MOELoRA.
Created
2023-10-19
21 commits to master branch, last one 4 months ago
Official PyTorch Implementation for Conflict-Averse Gradient Descent (CAGrad)
Created
2021-10-26
17 commits to main branch, last one about a year ago
Code for the paper Code for the paper InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning
Created
2022-05-20
46 commits to main branch, last one about a year ago
[CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning
Created
2020-04-04
7 commits to master branch, last one 3 years ago
[ECCV2022] Factorizing Knowledge in Neural Networks
Created
2022-06-27
91 commits to main branch, last one 2 years ago
reference pytorch code for named entity tagging
Created
2019-12-04
705 commits to master branch, last one about a month ago
Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]
Created
2020-06-07
30 commits to master branch, last one 2 years ago