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
• sajadn / Exemplar-VAE
  Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation
  ☆69Updated 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…
  ☆44Updated 5 years ago
• Separius / CudaRelativeAttention
  custom cuda kernel for {2, 3}d relative attention with pytorch wrapper
  ☆43Updated 4 years ago
• seraphlabs-ca / MIM
  Code for "MIM: Mutual Information Machine" paper.
  ☆16Updated 2 years ago
• cpcp1998 / PermuteFormer
  Code for the paper PermuteFormer
  ☆42Updated 3 years ago
• samiraabnar / Reflect
  Official Implementation of "Transferring Inductive Biases Through Knowledge Distillation"
  ☆14Updated 4 years ago
• kingofspace0wzz / wae-rnf-lm
  Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…
  ☆62Updated 4 years ago
• Holmeswww / PPOGAN
  ☆24Updated 9 months ago
• facebookresearch / Permutation-Equivariant-Seq2Seq
  Humans understand novel sentences by composing meanings and roles of core language components. In contrast, neural network models for nat…
  ☆27Updated 4 years ago
• demelin / Noise-Contrastive-Estimation-NCE-for-pyTorch
  Re-implementation of the Noise Contrastive Estimation algorithm for pyTorch, following "Noise-contrastive estimation: A new estimation pr…
  ☆45Updated 5 years ago
• eladhoffer / fix_your_classifier
  ☆34Updated 6 years ago
• dbaranchuk / memory-efficient-maml
  Memory efficient MAML using gradient checkpointing
  ☆83Updated 5 years ago
• lucidrains / learning-to-expire-pytorch
  An implementation of Transformer with Expire-Span, a circuit for learning which memories to retain
  ☆33Updated 4 years ago
• RobertCsordas / transformer_generalization
  The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We s…
  ☆67Updated 2 years ago
• Newbeeer / Anytime-Auto-Regressive-Model
  Code for ICLR 2021 Paper, "Anytime Sampling for Autoregressive Models via Ordered Autoencoding"
  ☆25Updated last year
• peerdavid / layerwise-batch-entropy
  Layerwise Batch Entropy Regularization
  ☆22Updated 2 years ago
• ColinQiyangLi / AdaCat
  AdaCat
  ☆49Updated 2 years ago
• yaohungt / TransformerDissection
  [EMNLP'19] Summary for Transformer Understanding
  ☆53Updated 5 years ago
• FelixAbrahamsson / mixmatch-pytorch
  An implementation of MixMatch with PyTorch
  ☆36Updated 4 years ago
• tbachlechner / ReZero-examples
  PyTorch Examples repo for "ReZero is All You Need: Fast Convergence at Large Depth"
  ☆62Updated 6 months ago
• lucidrains / deep-linear-network
  A simple implementation of a deep linear Pytorch module
  ☆19Updated 4 years ago
• moskomule / shampoo.pytorch
  An implementation of shampoo
  ☆74Updated 6 years ago
• j-min / Dropouts
  PyTorch Implementations of Dropout Variants
  ☆87Updated 7 years ago
• KyleGoyette / nnRNN
  ☆24Updated 5 years ago
• snu-mllab / DisentanglementICML19
  "Learning Discrete and Continuous Factors of Data via Alternating Disentanglement" accepted at ICML2019
  ☆21Updated 5 years ago
• jaywalnut310 / Vector-Quantized-Autoencoders
  Tensorflow Implementation of "Theory and Experiments on Vector Quantized Autoencoders"
  ☆14Updated 5 years ago
• ClashLuke / PerfTorch
  High performance pytorch modules
  ☆18Updated 2 years ago
• salesforce / NeuralBayes
  ☆24Updated 3 years ago
• wouterkool / estimating-gradients-without-replacement
  Estimating Gradients for Discrete Random Variables by Sampling without Replacement
  ☆40Updated 5 years ago