Alternatives and similar repositories for lp-sparsemap

Users that are interested in lp-sparsemap are comparing it to the libraries listed below

• vene / sparsemap
  SparseMAP: differentiable sparse structure inference
  ☆112Updated 6 years ago
• facebookresearch / latent-treelstm
  Cooperative Learning of Disjoint Syntax and Semantics
  ☆50Updated 6 years ago
• harvardnlp / strux
  ☆18Updated 3 years ago
• wouterkool / estimating-gradients-without-replacement
  Estimating Gradients for Discrete Random Variables by Sampling without Replacement
  ☆40Updated 5 years 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 5 years ago
• TimDettmers / transformer-xl
  ☆64Updated 5 years ago
• harvardnlp / hmm-lm
  ☆41Updated 4 years ago
• kingofspace0wzz / wae-rnf-lm
  Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…
  ☆63Updated 5 years ago
• mblondel / projection-losses
  Python implementation of projection losses.
  ☆27Updated 5 years ago
• rizar / systematic-generalization-sqoop
  Code for "Systematic Generalization: What Is Required and Can It Be Learned"
  ☆37Updated 6 years ago
• agadetsky / pytorch-definitions
  [ACL 2018] Conditional Generators of Words Definitions
  ☆33Updated 7 years ago
• deep-spin / sparse-marginalization-lvm
  Official PyTorch (Lightning) implementation of the NeurIPS 2020 paper "Efficient Marginalization of Discrete and Structured Latent Variab…
  ☆28Updated 4 years ago
• tommccoy1 / tpdn
  Tensor product decomposition network
  ☆19Updated 4 years ago
• facebookresearch / meta_seq2seq
  Compositional generalization through meta sequence-to-sequence learning
  ☆83Updated 5 years ago
• cambridgeltl / parameter-factorization
  Factorization of the neural parameter space for zero-shot multi-lingual and multi-task transfer
  ☆39Updated 4 years ago
• uclnlp / adversarial-nli
  Code and data for the CoNLL 2018 paper "Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge."
  ☆25Updated 6 years ago
• harvardnlp / TextFlow
  ☆121Updated 5 years ago
• hal3 / macarico
  learning to search in pytorch
  ☆110Updated 5 years ago
• Noahs-ARK / rational-recurrences
  Implementation for "Rational Recurrences", Peng et al., EMNLP 2018.
  ☆28Updated 3 years ago
• ethanjperez / rda
  Code for "Rissanen Data Analysis: Examining Dataset Characteristics via Description Length" by Ethan Perez, Douwe Kiela, and Kyungyhun Ch…
  ☆36Updated 4 years ago
• jacobandreas / l3
  Learning with latent language
  ☆51Updated 4 years ago
• vanzytay / QuaternionTransformers
  Repository for ACL 2019 paper
  ☆72Updated 6 years ago
• paruby / DIP-VAE
  An implementation of DIP-VAE from the paper "Variational Inference of Disentangled Latent Concepts from Unlabelled Observations" by Kumar…
  ☆26Updated 7 years ago
• viking-sudo-rm / stacknn-core
  Pip-installable differentiable stacks in PyTorch!
  ☆65Updated 4 years ago
• yikangshen / Ordered-Memory
  This repository contains the code used for Ordered Memory paper
  ☆30Updated 5 years ago
• RemiLeblond / SeaRNN-open
  Open source implementation of SeaRNN (ICLR 2018, https://openreview.net/forum?id=HkUR_y-RZ)
  ☆48Updated 7 years ago
• choidami / sst
  ☆50Updated 4 years ago
• nttcslab-nlp / doc_lm
  ☆12Updated 6 years ago
• jxhe / struct-learning-with-flow
  PyTorch Implementation of "Unsupervised Learning of Syntactic Structure with Invertible Neural Projections" (EMNLP 2018)
  ☆69Updated 5 years ago
• leo-liuzy / probe-across-time
  ☆22Updated 3 years ago