195 skills found · Page 1 of 7
PRBonn / LiDAR MOS(LMNet) Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data (RAL/IROS 2021)
jostmey / RwaMachine Learning on Sequential Data Using a Recurrent Weighted Average
facebookresearch / Salinaa Lightweight library for sequential learning agents, including reinforcement learning
Apress / Reinforcement Learning For Sequential Decision And Optimal ControlSource Code
analysiscenter / BatchflowBatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflows even for datasets that do not fit into memory.
siboehm / ShallowSpeedSmall scale distributed training of sequential deep learning models, built on Numpy and MPI.
kaixindelele / RHERThe Code for Paper “Relay Hindsight Experience Replay: Self-Guided Continual Reinforcement Learning for Sequential Object Manipulation Tasks with Sparse Rewards”
chickenbestlover / Online Recurrent Extreme Learning MachineOnline-Recurrent-Extreme-Learning-Machine (OR-ELM) for time-series prediction, implemented in python
wnhsu / FactorizedHierarchicalVAEThis repository contains the code to reproduce the core results from the paper "Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data"
wwxFromTju / Deepmind MAS Enviromentsome Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Cooperative Multi-Agent Learning》
AaronHeee / RecFormerReplication of the paper "Text Is All You Need: Learning Language Representations for Sequential Recommendation" on KDD'23.
xidongbo / AITMTensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper accepted by KDD21: Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display Advertising. [https://arxiv.org/abs/2105.08489]
RuihongQiu / DuoRecCode for WSDM 2022 paper, Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation.
microsoft / SeqMLA repository containing the implementations about our machine learning researches on sequence data and sequential decision making.
pliang279 / MFN[AAAI 2018] Memory Fusion Network for Multi-view Sequential Learning
CunchaoZ / CyGNetLearning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks
yatindandi / Disentangled Sequential AutoencoderVariational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mandt et al.).
aHuiWang / CIKM2020 S3RecCode for CIKM2020 "S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization"
RUCAIBox / VQ Rec[WWW'23] PyTorch implementation for "Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders".
Xiangtaokong / MiOIRTowards Effective Multiple-in-One Image Restoration: A Sequential and Prompt Learning Strategy
