All Categories → No Category → multi-task-learning

Top 23 multi-task-learning open source projects

Multi-Task Deep Neural Networks for Natural Language Understanding

✭ 1,871

python shell Jupyter Notebook Dockerfile deep-learning microsoft named-entity-recognition natural-language-understanding ranking bert multi-task-learning

OmiEmbed

Multi-task deep learning framework for multi-omics data analysis

✭ 16

python deep-learning cancer multi-task-learning multi-omics

emmental

A deep learning framework for building multimodal multi-task learning systems.

✭ 93

python Makefile machine-learning multimodality multi-task-learning

HyperFace-TensorFlow-implementation

HyperFace

✭ 68

python deep-learning tensorflow gender-recognition face-analysis pose-estimation multi-task-learning hyperface face-landmark-detection

CPG

Steven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming Chan, and Chu-Song Chen, "Compacting, Picking and Growing for Unforgetting Continual Learning," Thirty-third Conference on Neural Information Processing Systems, NeurIPS 2019

✭ 91

python shell deep-neural-networks pytorch face-recognition emotion-recognition multi-task-learning cpg lifelong-learning classification-model age-gender-cnn continual-learning

deep recommenders

Deep Recommenders

✭ 214

python shell deep-learning retrieval ranking recommendation-system multi-task-learning

Fine-Grained-or-Not

Code release for Your “Flamingo” is My “Bird”: Fine-Grained, or Not (CVPR 2021 Oral)

✭ 32

python fine-grained multi-task-learning fine-grained-classification fine-grained-visual-categorization hierarchy-analysis

mtlearn

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

✭ 45

python keras experts multi-task-learning cross-stitch multitask-learning kdd2018 mixture-of-experts tensorflow2 recsys2019 papers-with-code papers-reproduced

PCC-Net

PCC Net: Perspective Crowd Counting via Spatial Convolutional Network

✭ 63

python computer-vision multi-task-learning crowd-counting crowd-analysis

MNIST-multitask

6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"

✭ 34

python deep-learning mnist transfer-learning multi-task-learning fashion-mnist iclr2018

torchMTL

A lightweight module for Multi-Task Learning in pytorch.

✭ 84

python machine-learning framework deep-learning pytorch mtl multi-task-learning

EasyRec

A framework for large scale recommendation algorithms.

DeepSegmentor

A Pytorch implementation of DeepCrack and RoadNet projects.

✭ 152

python shell TeX deep-neural-networks deep-learning dataset edge-detection image-segmentation centerline-detection road-detection multi-task-learning crack-detection

Mask-YOLO

Inspired from Mask R-CNN to build a multi-task learning, two-branch architecture: one branch based on YOLOv2 for object detection, the other branch for instance segmentation. Simply tested on Rice and Shapes. MobileNet supported.

✭ 100

Jupyter Notebook python computer-vision detection yolo multi-task-learning mask-rcnn mobilenetv2

multi-task-learning

Multi-task learning smile detection, age and gender classification on GENKI4k, IMDB-Wiki dataset.

temporal-depth-segmentation

Source code (train/test) accompanying the paper entitled "Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach" in CVPR 2019 (https://arxiv.org/abs/1903.10764).

✭ 20

python shell semantic-segmentation multi-task-learning depth-prediction skip-connections monocular-depth-estimation temporal-convolutional-network

Multi-task-Conditional-Attention-Networks

A prototype version of our submitted paper: Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creatives.

✭ 21

python Dockerfile chainer advertising attention-mechanism multi-task-learning kdd2019

Pytorch-PCGrad

Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"

✭ 179

python reinforcement-learning deep-learning deep-reinforcement-learning pytorch mnist rl reimplementation multi-task-learning cifar-100 multi-task-reinforcement-learning multi-task-rl pytorch-pcgrad gradient-surgery mulit-mnist

cups-rl

Customisable Unified Physical Simulations (CUPS) for Reinforcement Learning. Experiments run on the ai2thor environment (http://ai2thor.allenai.org/) e.g. using A3C, RainbowDQN and A3C_GA (Gated Attention multi-modal fusion) for Task-Oriented Language Grounding (tasks specified by natural language instructions) e.g. "Pick up the Cup or else"

FOCAL-ICLR

Code for FOCAL Paper Published at ICLR 2021

✭ 35

python reinforcement-learning distance-metric-learning multi-task-learning meta-learning meta-rl offline-reinforcement-learning

agegenderLMTCNN

Jia-Hong Lee, Yi-Ming Chan, Ting-Yen Chen, and Chu-Song Chen, "Joint Estimation of Age and Gender from Unconstrained Face Images using Lightweight Multi-task CNN for Mobile Applications," IEEE International Conference on Multimedia Information Processing and Retrieval, MIPR 2018

✭ 39

python shell deep-neural-networks tensorflow android-application multi-task-learning efficient-inference mobile-application age-gender-cnn

amta-net

Asymmetric Multi-Task Attention Network for Prostate Bed Segmentation in CT Images

✭ 26

python attention-mechanism prostate computed-tomography multi-task-learning prostate-segmentation

NeuralMerger

Yi-Min Chou, Yi-Ming Chan, Jia-Hong Lee, Chih-Yi Chiu, Chu-Song Chen, "Unifying and Merging Well-trained Deep Neural Networks for Inference Stage," International Joint Conference on Artificial Intelligence (IJCAI), 2018

✭ 20

python deep-neural-networks tensorflow multi-task-learning efficient-inference cnn-compression unifying-and-merging-cnn multi-modal-learning

1-23 of 23 multi-task-learning projects