Alternatives and similar repositories for MTAdam

Users that are interested in MTAdam are comparing it to the libraries listed below

• izmailovpavel / torch_swa_examples
  ☆47Updated 4 years ago
• sIncerass / powernorm
  [ICML 2020] code for "PowerNorm: Rethinking Batch Normalization in Transformers" https://arxiv.org/abs/2003.07845
  ☆120Updated 4 years ago
• epfml / collaborative-attention
  Code for Multi-Head Attention: Collaborate Instead of Concatenate
  ☆152Updated 2 years ago
• tbachlechner / ReZero-examples
  PyTorch Examples repo for "ReZero is All You Need: Fast Convergence at Large Depth"
  ☆62Updated last year
• giannisdaras / smyrf
  [NeurIPS 2020] Official Implementation: "SMYRF: Efficient Attention using Asymmetric Clustering".
  ☆50Updated 2 years ago
• yaohungt / TransformerDissection
  [EMNLP'19] Summary for Transformer Understanding
  ☆53Updated 6 years ago
• ssnl / PyTorch-Reparam-Module
  Reparameterize your PyTorch modules
  ☆71Updated 4 years ago
• Holmeswww / PPOGAN
  ☆25Updated last year
• j-min / Dropouts
  PyTorch Implementations of Dropout Variants
  ☆88Updated 7 years ago
• ischlag / fast-weight-transformers
  Official code repository of the paper Linear Transformers Are Secretly Fast Weight Programmers.
  ☆110Updated 4 years ago
• JingzhaoZhang / why-clipping-accelerates
  A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification f…
  ☆46Updated 5 years ago
• dbaranchuk / memory-efficient-maml
  Memory efficient MAML using gradient checkpointing
  ☆86Updated 5 years ago
• takashiishida / flooding
  [ICML 2020] code for the flooding regularizer proposed in "Do We Need Zero Training Loss After Achieving Zero Training Error?"
  ☆95Updated 2 years ago
• lucidrains / axial-positional-embedding
  Axial Positional Embedding for Pytorch
  ☆84Updated 9 months ago
• lucidrains / hamburger-pytorch
  Pytorch implementation of the hamburger module from the ICLR 2021 paper "Is Attention Better Than Matrix Decomposition"
  ☆99Updated 4 years ago
• yedidh / glann
  Official code for paper "Non-Adversarial Image Synthesis with Generative Latent Nearest Neighbors"
  ☆28Updated 6 years ago
• david-abel / neurips_2019
  Notes from NeurIPS 2019
  ☆29Updated 5 years ago
• msobroza / SparsemaxPytorch
  SparseMax activation function implementation (ICML 2016) (PyTorch)
  ☆28Updated 8 years ago
• salesforce / NeuralBayes
  ☆24Updated 7 months ago
• Zhiyuan1991 / proVLAE
  ☆27Updated 5 years ago
• lucidrains / distilled-retriever-pytorch
  Implementation of the retriever distillation procedure as outlined in the paper "Distilling Knowledge from Reader to Retriever"
  ☆32Updated 4 years ago
• yaohungt / Adaptive-Regularization-Neural-Network
  [NeurIPS'19] [PyTorch] Adaptive Regularization in NN
  ☆68Updated 6 years ago
• lancopku / AdaNorm
  Code for "Understanding and Improving Layer Normalization"
  ☆46Updated 5 years ago
• lucidrains / isab-pytorch
  An implementation of (Induced) Set Attention Block, from the Set Transformers paper
  ☆65Updated 2 years ago
• 10-zin / Synthesizer
  A PyTorch implementation of the paper - "Synthesizer: Rethinking Self-Attention in Transformer Models"
  ☆73Updated 2 years ago
• matthewmackay / reversible-rnn
  Code for reversible recurrent neural networks
  ☆40Updated 6 years ago
• layer6ai-labs / T-Fixup
  Code for the ICML'20 paper "Improving Transformer Optimization Through Better Initialization"
  ☆89Updated 4 years ago
• RedRyan111 / GLOM
  An implementation of 2021 paper by Geoffrey Hinton: "How to represent part-whole hierarchies in a neural network" in Pytorch.
  ☆57Updated 4 years ago
• lucidrains / long-short-transformer
  Implementation of Long-Short Transformer, combining local and global inductive biases for attention over long sequences, in Pytorch
  ☆120Updated 4 years ago
• Separius / CudaRelativeAttention
  custom cuda kernel for {2, 3}d relative attention with pytorch wrapper
  ☆43Updated 5 years ago