Alternatives and similar repositories for mogrifier-lstm-pytorch:

Users that are interested in mogrifier-lstm-pytorch are comparing it to the libraries listed below

• xuanqing94 / FLOATER
  Learning to Encode Position for Transformer with Continuous Dynamical Model
  ☆59Updated 4 years ago
• RMichaelSwan / MogrifierLSTM
  A quick walk-through of the innards of LSTMs and a naive implementation of the Mogrifier LSTM paper in PyTorch
  ☆74Updated 4 years ago
• lancopku / Explicit-Sparse-Transformer
  code for Explicit Sparse Transformer
  ☆57Updated last year
• DeadAt0m / adafactor-pytorch
  A pytorch realization of adafactor (https://arxiv.org/pdf/1804.04235.pdf )
  ☆23Updated 5 years ago
• thuml / StochNorm
  Code release for NeurIPS 2020 paper "Stochastic Normalization"
  ☆23Updated 2 years ago
• lzy1732008 / GaussionTransformer
  For paper《Gaussian Transformer: A Lightweight Approach for Natural Language Inference》
  ☆29Updated 4 years ago
• xwgeng / SSAN
  How Does Selective Mechanism Improve Self-attention Networks?
  ☆27Updated 3 years ago
• ItzikMalkiel / MTAdam
  MTAdam: Automatic Balancing of Multiple Training Loss Terms
  ☆36Updated 4 years ago
• lucidrains / omninet-pytorch
  Implementation of OmniNet, Omnidirectional Representations from Transformers, in Pytorch
  ☆57Updated 3 years ago
• leaderj1001 / Synthesizer-Rethinking-Self-Attention-Transformer-Models
  Implementing SYNTHESIZER: Rethinking Self-Attention in Transformer Models using Pytorch
  ☆70Updated 4 years ago
• lancopku / AdaNorm
  Code for "Understanding and Improving Layer Normalization"
  ☆46Updated 5 years ago
• davidsvy / cosformer-pytorch
  Unofficial PyTorch implementation of the paper "cosFormer: Rethinking Softmax In Attention".
  ☆44Updated 3 years ago
• Chenglin-Yang / LESA
  Locally Enhanced Self-Attention: Rethinking Self-Attention as Local and Context Terms
  ☆20Updated 3 years ago
• PaulAlbert31 / ReLaB
  Official repository for Reliable Label Bootstrapping
  ☆19Updated last year
• kuixu / Linear-Multihead-Attention
  Reproducing the Linear Multihead Attention introduced in Linformer paper (Linformer: Self-Attention with Linear Complexity)
  ☆72Updated 4 years ago
• lioutasb / TaLKConvolutions
  Official PyTorch implementation of Time-aware Large Kernel (TaLK) Convolutions (ICML 2020)
  ☆29Updated 4 years ago
• xjtushujun / Meta-weight-net_class-imbalance
  NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).
  ☆34Updated 5 years ago
• yaohungt / TransformerDissection
  [EMNLP'19] Summary for Transformer Understanding
  ☆53Updated 5 years ago
• bojone / univae
  基于Transformer的单模型、多尺度的VAE模型
  ☆55Updated 3 years ago
• calclavia / Performer-Pytorch
  Pytorch implementation of Performer from the paper "Rethinking Attention with Performers".
  ☆24Updated 4 years ago
• BingSu12 / TAP
  Temporal Alignment Prediction for Supervised Representation Learning and Few-Shot Sequence Classification
  ☆11Updated 2 years ago
• jackyyy0228 / Order-free-Learning-Alleviating-Exposure-Bias-in-Multi-label-Classification
  ☆20Updated 5 years ago
• google-research / noisy-fewshot-learning
  ☆23Updated 4 years ago
• littleredxh / HardNegative
  ☆51Updated 3 years ago
• hrayrhar / limit-label-memorization
  Improving generalization by controlling label-noise information in neural network weights.
  ☆40Updated 4 years ago
• shaabhishek / gumbel-softmax-pytorch
  categorical variational autoencoder using the Gumbel-Softmax estimator
  ☆25Updated 5 years ago
• MarziEd / SubSpace-Capsule-Network
  ☆13Updated 4 years ago
• gan3sh500 / revrnn
  Reversible Recurrent Neural Network Pytorch Implementation
  ☆21Updated 7 years ago
• rishikksh20 / rectified-linear-attention
  Sparse Attention with Linear Units
  ☆17Updated 3 years ago
• takashiishida / flooding
  [ICML 2020] code for the flooding regularizer proposed in "Do We Need Zero Training Loss After Achieving Zero Training Error?"
  ☆92Updated 2 years ago