Alternatives and similar repositories for sparsemax

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

• ctlllll / SGConv
  ☆163Updated 2 years ago
• dwromero / ckconv
  Code repository of the paper "CKConv: Continuous Kernel Convolution For Sequential Data" published at ICLR 2022. https://arxiv.org/abs/21…
  ☆121Updated 2 years ago
• alex-matton / causal-transformer-decoder
  ☆73Updated 4 years ago
• lucidrains / gated-state-spaces-pytorch
  Implementation of Gated State Spaces, from the paper "Long Range Language Modeling via Gated State Spaces", in Pytorch
  ☆100Updated 2 years ago
• aliutkus / spe
  Relative Positional Encoding for Transformers with Linear Complexity
  ☆64Updated 3 years ago
• gcambara / cape
  Continuous Augmented Positional Embeddings (CAPE) implementation for PyTorch
  ☆41Updated 2 years ago
• pseeth / autoclip
  Adaptive Gradient Clipping
  ☆133Updated 2 years ago
• ag1988 / dss
  Sequence Modeling with Structured State Spaces
  ☆64Updated 2 years ago
• thjashin / multires-conv
  Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)
  ☆124Updated last year
• google-research / diffstride
  TF/Keras code for DiffStride, a pooling layer with learnable strides.
  ☆124Updated 3 years ago
• nicola-decao / power_spherical
  Pytorch implementation of the Power Spherical distribution
  ☆74Updated 11 months ago
• chrischute / flowplusplus
  Implementation of Flow++ in PyTorch
  ☆40Updated 5 years ago
• michaelsdr / sinkformers
  Transformers with doubly stochastic attention
  ☆46Updated 2 years ago
• toshas / torch-householder
  Efficient Householder Transformation in PyTorch
  ☆66Updated 3 years ago
• toshas / torch-discounted-cumsum
  Fast Discounted Cumulative Sums in PyTorch
  ☆96Updated 3 years ago
• uclnlp / torch-imle
  Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions
  ☆258Updated last year
• lucidrains / compositional-attention-pytorch
  Implementation of "compositional attention" from MILA, a multi-head attention variant that is reframed as a two-step attention process wi…
  ☆51Updated 3 years ago
• KrisKorrel / sparsemax-pytorch
  Implementation of Sparsemax activation in Pytorch
  ☆160Updated 5 years ago
• choidami / sst
  ☆49Updated 4 years ago
• akandykeller / SelfNormalizingFlows
  ☆68Updated 2 years ago
• AlexanderMath / fasth
  Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.
  ☆75Updated 11 months ago
• revsic / jax-variational-diffwave
  Jax/Flax implementation of Variational-DiffWave.
  ☆40Updated 3 years ago
• didriknielsen / survae_flows
  Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"
  ☆287Updated 4 years ago
• chrvt / denoising-normalizing-flow
  ☆20Updated 2 years ago
• ischlag / fast-weight-transformers
  Official code repository of the paper Linear Transformers Are Secretly Fast Weight Programmers.
  ☆105Updated 4 years ago
• f-dangel / sirfshampoo
  [ICML 2024] SIRFShampoo: Structured inverse- and root-free Shampoo in PyTorch (https://arxiv.org/abs/2402.03496)
  ☆14Updated 7 months ago
• sajadn / posterior-collapse-list
  A curated list of techniques to avoid posterior collapse
  ☆87Updated 2 years ago
• Newbeeer / Anytime-Auto-Regressive-Model
  Code for ICLR 2021 Paper, "Anytime Sampling for Autoregressive Models via Ordered Autoencoding"
  ☆26Updated 2 years ago
• lucidrains / nystrom-attention
  Implementation of Nyström Self-attention, from the paper Nyströmformer
  ☆135Updated 3 months ago
• noegroup / stochastic_normalizing_flows
  Stochastic Normalizing Flows
  ☆76Updated 3 years ago