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"
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Mutual labels: multi-task-learning
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Mutual labels: multi-task-learning
mtlearnMulti-Task Learning package built with tensorflow 2 (Multi-Gate Mixture of Experts, Cross-Stitch, Ucertainty Weighting)
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Mutual labels: multi-task-learning
Pytorch-PCGradPytorch reimplementation for "Gradient Surgery for Multi-Task Learning"
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Mutual labels: multi-task-learning
fuse-med-mlA python framework accelerating ML based discovery in the medical field by encouraging code reuse. Batteries included :)
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Mutual labels: multimodality
torchMTLA lightweight module for Multi-Task Learning in pytorch.
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Mutual labels: multi-task-learning
agegenderLMTCNNJia-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
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Mutual labels: multi-task-learning
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
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Mutual labels: multi-task-learning
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Mutual labels: multi-task-learning
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Mutual labels: multi-task-learning
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Mutual labels: multi-task-learning
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Mutual labels: multi-task-learning
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Mutual labels: multimodality
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Mutual labels: multimodality
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Mutual labels: multi-task-learning
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Mutual labels: multi-task-learning
EasyRecA framework for large scale recommendation algorithms.
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Mutual labels: multi-task-learning
deep recommendersDeep Recommenders
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Mutual labels: multi-task-learning
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Mutual labels: multi-task-learning
