Alternatives and similar repositories for dyna-pi:

Users that are interested in dyna-pi are comparing it to the libraries listed below

• srush / ProbTalk
  ☆29Updated 3 years ago
• xuanlinli17 / autoregressive_inference
  Code for "Discovering Non-monotonic Autoregressive Orderings with Variational Inference" (paper and code updated from ICLR 2021)
  ☆12Updated last year
• harvardnlp / strux
  ☆18Updated 3 years ago
• srush / torch-golf
  Silly twitter torch implementations.
  ☆46Updated 2 years ago
• bdusell / nondeterministic-stack-rnn
  Code for the paper "The Surprising Computational Power of Nondeterministic Stack RNNs" (DuSell and Chiang, 2023)
  ☆18Updated last year
• Noahs-ARK / PaLM
  PyTorch implementation for PaLM: A Hybrid Parser and Language Model.
  ☆10Updated 5 years ago
• mblondel / projection-losses
  Python implementation of projection losses.
  ☆26Updated 5 years ago
• machelreid / editpro
  Learning to Model Editing Processes
  ☆26Updated 2 years ago
• IamHuijben / gumbel_softmax_sampling
  ☆11Updated 3 years ago
• rycolab / tree_expectations
  Code Repository for "Efficient Computation of Expectations under Spanning Tree Distributions", http://arxiv.org/abs/2008.12988
  ☆10Updated 4 years ago
• jemisjoky / umps_code
  u-MPS implementation and experimentation code used in the paper Tensor Networks for Probabilistic Sequence Modeling (https://arxiv.org/ab…
  ☆19Updated 4 years ago
• bdusell / semiring-einsum
  Generic PyTorch implementation of einsum that supports different semirings
  ☆47Updated 9 months ago
• ermongroup / SPN_Variational_Inference
  PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020
  ☆17Updated 3 years ago
• satwik77 / Transformer-Formal-Languages
  EMNLP 2020: On the Ability and Limitations of Transformers to Recognize Formal Languages
  ☆23Updated 4 years ago
• harvardnlp / hmm-lm
  ☆42Updated 4 years ago
• bergen / EdgeTransformer
  ☆22Updated 3 years ago
• deep-spin / sparse_continuous_distributions
  This repository provides open-source code for sparse continuous distributions and corresponding Fenchel-Young losses.
  ☆16Updated 2 years ago
• FranxYao / RDP
  Implementation of ICML 22 Paper: Scaling Structured Inference with Randomization
  ☆14Updated 2 years ago
• MurtyShikhar / Pushdown-Layers
  Code for Pushdown Layers from our EMNLP 2023 paper
  ☆28Updated last year
• zomux / lanmt-ebm
  lanmt ebm
  ☆11Updated 4 years ago
• timvieira / vocrf
  Variable-order CRFs with structure learning
  ☆16Updated 9 months ago
• deep-spin / understanding-spigot
  Code for the paper "Understanding the Mechanics of SPIGOT: Surrogate Gradients for Latent Structure Learning"
  ☆11Updated 4 years ago
• i-machine-think / machine-tasks
  Datasets for compositional learning
  ☆11Updated 6 years ago
• srush / jax-lda
  ☆30Updated 3 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
• IBM / ColPret
  Efficient Scaling laws and collaborative pretraining.
  ☆16Updated 3 months ago
• choidami / sst
  ☆49Updated 4 years ago
• HKUNLP / subgoal-theorem-prover
  Code for the paper "Decomposing the Enigma: Subgoal-based Demonstration Learning for Formal Theorem Proving"
  ☆19Updated last year
• timvieira / rl
  Reference implementation of algorithms for reinforcement learning and Markov decision processes.
  ☆12Updated 4 years ago
• sustcsonglin / gated_linear_attention_layer
  ☆32Updated last year