NeuralMergerYi-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
Stars: ✭ 20 (-48.72%)
CPGSteven 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
Stars: ✭ 91 (+133.33%)
amta-netAsymmetric Multi-Task Attention Network for Prostate Bed Segmentation in CT Images
Stars: ✭ 26 (-33.33%)
DS-Net(CVPR 2021, Oral) Dynamic Slimmable Network
Stars: ✭ 204 (+423.08%)
Mt DnnMulti-Task Deep Neural Networks for Natural Language Understanding
Stars: ✭ 1,871 (+4697.44%)
OmiEmbedMulti-task deep learning framework for multi-omics data analysis
Stars: ✭ 16 (-58.97%)
emmentalA deep learning framework for building multimodal multi-task learning systems.
Stars: ✭ 93 (+138.46%)
Fine-Grained-or-NotCode release for Your “Flamingo” is My “Bird”: Fine-Grained, or Not (CVPR 2021 Oral)
Stars: ✭ 32 (-17.95%)
mtlearnMulti-Task Learning package built with tensorflow 2 (Multi-Gate Mixture of Experts, Cross-Stitch, Ucertainty Weighting)
Stars: ✭ 45 (+15.38%)
PCC-NetPCC Net: Perspective Crowd Counting via Spatial Convolutional Network
Stars: ✭ 63 (+61.54%)
MNIST-multitask6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"
Stars: ✭ 34 (-12.82%)
torchMTLA lightweight module for Multi-Task Learning in pytorch.
Stars: ✭ 84 (+115.38%)
EasyRecA framework for large scale recommendation algorithms.
Stars: ✭ 599 (+1435.9%)
DeepSegmentorA Pytorch implementation of DeepCrack and RoadNet projects.
Stars: ✭ 152 (+289.74%)
Mask-YOLOInspired 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.
Stars: ✭ 100 (+156.41%)
multi-task-learningMulti-task learning smile detection, age and gender classification on GENKI4k, IMDB-Wiki dataset.
Stars: ✭ 154 (+294.87%)
temporal-depth-segmentationSource 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).
Stars: ✭ 20 (-48.72%)
Multi-task-Conditional-Attention-NetworksA prototype version of our submitted paper: Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creatives.
Stars: ✭ 21 (-46.15%)
Pytorch-PCGradPytorch reimplementation for "Gradient Surgery for Multi-Task Learning"
Stars: ✭ 179 (+358.97%)
cups-rlCustomisable 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"
Stars: ✭ 38 (-2.56%)
FOCAL-ICLRCode for FOCAL Paper Published at ICLR 2021
Stars: ✭ 35 (-10.26%)
GhostnetCV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.
Stars: ✭ 1,744 (+4371.79%)
SMSR[CVPR 2021] Exploring Sparsity in Image Super-Resolution for Efficient Inference
Stars: ✭ 205 (+425.64%)
Crate👕 👖 📦 A sample web and mobile application built with Node, Express, React, React Native, Redux and GraphQL. Very basic replica of stitchfix.com / krate.in (allows users to get monthly subscription of trendy clothes and accessories).
Stars: ✭ 2,281 (+5748.72%)
covid19cuba-appMobile application of Covid19 Cuba Data project implemented with Flutter
Stars: ✭ 41 (+5.13%)