Alternatives and similar repositories for pytorch-definitions:

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

• facebookresearch / latent-treelstm
  Cooperative Learning of Disjoint Syntax and Semantics
  ☆49Updated 5 years ago
• cambridgeltl / adversarial-postspec
  Auxiliary GAN for WE post-specialisation
  ☆23Updated 5 years ago
• uralik / beamdream
  ☆28Updated 3 years ago
• jxhe / struct-learning-with-flow
  PyTorch Implementation of "Unsupervised Learning of Syntactic Structure with Invertible Neural Projections" (EMNLP 2018)
  ☆69Updated 4 years ago
• tombosc / cpae
  Code for EMNLP 2018 paper "Auto-Encoding Dictionary Definitions into Consistent Word Embeddings"
  ☆37Updated 6 years ago
• Roxot / AEVNMT
  Auto-Encoding Variational Neural Machine Translation
  ☆16Updated 4 years ago
• brendenlake / meta_seq2seq
  PyTorch code for meta seq2seq learning
  ☆43Updated 5 years ago
• uclnlp / adversarial-nli
  Code and data for the CoNLL 2018 paper "Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge."
  ☆25Updated 5 years ago
• violet-zct / MSVED-morph-reinflection
  An implementation of semi-supervised VAE for morphology reinflection.
  ☆26Updated 5 years ago
• MultiPath / Efficient-Neural-Machine-Translation
  PhD thesis (updating) of Jiatao Gu from HKU
  ☆19Updated 6 years ago
• cambridgeltl / parameter-factorization
  Factorization of the neural parameter space for zero-shot multi-lingual and multi-task transfer
  ☆39Updated 4 years ago
• Sachin19 / seq2seq-con
  Implementation of "Von Mises-Fisher Loss for Training Sequence to Sequence Models with Continuous Outputs"
  ☆77Updated 3 years ago
• sebastianruder / latent-variable-vecmap
  A latent-variable model for learning bilingual word embedding mappings
  ☆18Updated 5 years ago
• ischlag / TPR-RNN
  Code for the publication Learning to Reason with Third-Order Tensor Products.
  ☆39Updated 6 years ago
• nelson-liu / inoculation-by-finetuning
  Code for the paper "Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets", to be presented at NAACL 2019.
  ☆19Updated 5 years ago
• ofirpress / PartialShuffle
  ☆14Updated 5 years ago
• Noahs-ARK / soft_patterns
  Text classification code described in "SoPa: Bridging CNNs, RNNs, and Weighted Finite-State Machines" by Roy Schwartz, Sam Thomson and No…
  ☆55Updated 2 years ago
• umanlp / tg2019task
  TextGraphs-13 Shared Task on Multi-Hop Inference Explanation Regeneration
  ☆44Updated 4 years ago
• jbuckman / neural-lattice-language-models
  Code for upcoming TACL paper w/ Graham Neubig, "Neural Lattice Language Models".
  ☆48Updated 7 years ago
• tom-pelsmaeker / deep-generative-lm
  Code accompanying the paper "Effective Estimation of Deep Generative Language Models".
  ☆25Updated 4 years ago
• mingdachen / vsl
  Code for "Variational Sequential Labelers for Semi-Supervised Learning" (EMNLP 2018)
  ☆34Updated 6 years ago
• RemiLeblond / SeaRNN-open
  Open source implementation of SeaRNN (ICLR 2018, https://openreview.net/forum?id=HkUR_y-RZ)
  ☆49Updated 6 years ago
• nttcslab-nlp / doc_lm
  ☆12Updated 6 years ago
• neubig / howtocode-2017
  An example of DyNet autobatching for the NIPS "how to code a paper" workshop
  ☆13Updated 7 years ago
• ketranm / fan_vs_rnn
  The Importance of Being Recurrent for Modeling Hierarchical Structure
  ☆25Updated 6 years ago
• fdalvi / NeuroX-demo
  ☆66Updated 2 years ago
• violet-zct / DeMa-BWE
  NAACL 2019 paper: Density Matching for Bilingual Word Embedding (Zhou et al., 2019)
  ☆64Updated 2 years ago
• harvardnlp / DeepLatentNLP
  ☆61Updated 6 years ago