eminorhan / mixture-of-expertsLinks
Mixture of experts layers for Keras
☆95Updated 7 years ago
Alternatives and similar repositories for mixture-of-experts
Users that are interested in mixture-of-experts are comparing it to the libraries listed below
Sorting:
- [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach☆58Updated 8 years ago
- Multi-Task Learning package built with tensorflow 2 (Multi-Gate Mixture of Experts, Cross-Stitch, Ucertainty Weighting)☆52Updated 5 years ago
- A PyTorch implementation of Ranking Distillation☆90Updated 5 years ago
- Official MXNet code for 'Collaborative Deep Learning for Recommender Systems' - SIGKDD☆53Updated 4 years ago
- Pytorch implementation of λOpt: Learn to Regularize Recommender Models in Finer Levels, KDD 2019☆53Updated 5 years ago
- pytorch neural network attention mechanism☆147Updated 6 years ago
- Simple Tensorflow implementation of "On the Convergence of Adam and Beyond" (ICLR 2018)☆104Updated 6 years ago
- Code for paper "Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning"☆64Updated 2 years ago
- Efficient Neural Interaction Functions Search for Collaborative Filtering☆18Updated 5 years ago
- Multi heads attention for image classification☆79Updated 7 years ago
- Sampled Softmax Implementation for PyTorch☆44Updated 7 years ago
- Corrupted labels and label smoothing☆129Updated 8 years ago
- Multi-Task Learning Framework on PyTorch. State-of-the-art methods are implemented to effectively train models on multiple tasks.☆149Updated 6 years ago
- Collection of TensorFlow Examples☆37Updated 7 years ago
- Tensorflow implementation of a Tree☆35Updated 6 years ago
- PyTorch implementations of LSTM Variants (Dropout + Layer Norm)☆137Updated 4 years ago
- ☆82Updated 6 years ago
- Population Based Training (in PyTorch with sqlite3). Status: Unsupported☆162Updated 7 years ago
- Multi Task Learning Implementation with Homoscedastic Uncertainty in Tensorflow☆54Updated 7 years ago
- Cyclic learning rate TensorFlow implementation.☆66Updated 6 years ago
- This is a collection of Papers and Codes for Noisy Labels Problem.☆63Updated 7 years ago
- Policy based Active Learning with DQN (EMNLP-2017)☆90Updated 7 years ago
- Code for paper "On Sampling Strategies for Neural Network-based Collaborative Filtering"☆39Updated 8 years ago
- Deep Embedding Clustering in Keras☆132Updated 8 years ago
- Accelerating Inference for Recommendation Systems (WSDM'21)☆112Updated 4 years ago
- A comparison of Google SlateQ algorithm with traditional Reinforcement Learning algorithms☆37Updated 2 years ago
- Custom Optimizer in TensorFlow(定义你自己的Tensorflow Optimizer)☆66Updated 6 years ago
- Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)☆71Updated 7 years ago
- Implementation of soft parameter sharing for neural networks☆70Updated 4 years ago
- Gradient based hyperparameter optimization & meta-learning package for TensorFlow☆190Updated 5 years ago