Alternatives and similar repositories for mixture-of-experts

Users that are interested in mixture-of-experts are comparing it to the libraries listed below

• wOOL / DMTRL
  [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach
  ☆58Updated 8 years ago
• js05212 / MXNet-for-CDL
  Official MXNet code for 'Collaborative Deep Learning for Recommender Systems' - SIGKDD
  ☆53Updated 3 years ago
• luochuwei / Custom-Optimizer-in-TensorFlow
  Custom Optimizer in TensorFlow(定义你自己的Tensorflow Optimizer)
  ☆66Updated 6 years ago
• taki0112 / AMSGrad-Tensorflow
  Simple Tensorflow implementation of "On the Convergence of Adam and Beyond" (ICLR 2018)
  ☆104Updated 6 years ago
• hav4ik / Hydra
  Multi-Task Learning Framework on PyTorch. State-of-the-art methods are implemented to effectively train models on multiple tasks.
  ☆149Updated 6 years ago
• thomlake / pytorch-attention
  pytorch neural network attention mechanism
  ☆147Updated 6 years ago
• nw2190 / TensorFlow_Examples
  Collection of TensorFlow Examples
  ☆37Updated 7 years ago
• abhiskk / ladder
  Implementation of Ladder Network in PyTorch.
  ☆45Updated 8 years ago
• hardianlawi / MTL-Homoscedastic-Uncertainty
  Multi Task Learning Implementation with Homoscedastic Uncertainty in Tensorflow
  ☆54Updated 7 years ago
• AmazaspShumik / mtlearn
  Multi-Task Learning package built with tensorflow 2 (Multi-Gate Mixture of Experts, Cross-Stitch, Ucertainty Weighting)
  ☆52Updated 5 years ago
• yihong-chen / lambda-opt
  Pytorch implementation of λOpt: Learn to Regularize Recommender Models in Finer Levels, KDD 2019
  ☆53Updated 5 years ago
• graytowne / rank_distill
  A PyTorch implementation of Ranking Distillation
  ☆90Updated 5 years ago
• duchao0726 / DUAL
  Code for paper "Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning"
  ☆64Updated 2 years ago
• udibr / noisy_labels
  TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER
  ☆118Updated 8 years ago
• mhmoodlan / cyclic-learning-rate
  Cyclic learning rate TensorFlow implementation.
  ☆66Updated 6 years ago
• kingfengji / eForest
  This is the official implementation for the paper 'AutoEncoder by Forest'
  ☆75Updated 7 years ago
• Kyubyong / label_smoothing
  Corrupted labels and label smoothing
  ☆129Updated 7 years ago
• seba-1511 / lstms.pth
  PyTorch implementations of LSTM Variants (Dropout + Layer Norm)
  ☆137Updated 4 years ago
• benoitdescamps / Neural-Tree
  Tensorflow implementation of a Tree
  ☆35Updated 6 years ago
• WayneDW / DeepLight_Deep-Lightweight-Feature-Interactions
  Accelerating Inference for Recommendation Systems (WSDM'21)
  ☆112Updated 4 years ago
• thuml / MTlearn
  Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)
  ☆71Updated 7 years ago
• mengf1 / PAL
  Policy based Active Learning with DQN (EMNLP-2017)
  ☆90Updated 7 years ago
• jingxil / Neural-Decision-Forests
  An implementation of the Deep Neural Decision Forests in PyTorch
  ☆165Updated 6 years ago
• johnsmithm / multi-heads-attention-image-classification
  Multi heads attention for image classification
  ☆80Updated 7 years ago
• lolemacs / soft-sharing
  Implementation of soft parameter sharing for neural networks
  ☆69Updated 4 years ago
• wOOL / DNDT
  Deep Neural Decision Trees
  ☆161Updated 3 years ago
• markpwoodward / active_osl
  Code for "Active One-shot Learning"
  ☆33Updated 6 years ago
• Riashat / Deep-Bayesian-Active-Learning
  Code for Deep Bayesian Active Learning (ICML 2017)
  ☆112Updated 7 years ago
• rank2rec / rerank
  ☆82Updated 6 years ago
• MattKleinsmith / pbt
  Population Based Training (in PyTorch with sqlite3). Status: Unsupported
  ☆162Updated 7 years ago