☆122Oct 31, 2019Updated 6 years ago
Alternatives and similar repositories for TextFlow
Users that are interested in TextFlow are comparing it to the libraries listed below
Sorting:
- Discrete Normalizing Flows implemented in PyTorch☆115Oct 4, 2021Updated 4 years ago
- Experiments for the Neural Autoregressive Flows paper☆125Jun 10, 2021Updated 4 years ago
- Generative Flow based Sequence-to-Sequence Toolkit written in Python.☆247Jan 28, 2020Updated 6 years ago
- ☆14Aug 10, 2019Updated 6 years ago
- Implementation of ICML 22 Paper: Scaling Structured Inference with Randomization☆14Jul 24, 2022Updated 3 years ago
- code for "Residual Flows for Invertible Generative Modeling".☆273Sep 19, 2023Updated 2 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆63Apr 1, 2020Updated 5 years ago
- PyTorch implementations of algorithms for density estimation☆586May 13, 2021Updated 4 years ago
- Reweighted Expectation Maximization☆29Jun 14, 2019Updated 6 years ago
- Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows☆637Jul 12, 2021Updated 4 years ago
- PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020☆17Oct 11, 2021Updated 4 years ago
- ☆88Nov 2, 2021Updated 4 years ago
- Masked Autoregressive Flow☆219Jul 28, 2024Updated last year
- Implementation and tutorials of normalizing flows with the novel distributions module☆169Aug 13, 2020Updated 5 years ago
- ☆17May 28, 2018Updated 7 years ago
- PyTorch implementation of the paper "NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity." (NeurIPS 2020)☆67Dec 28, 2020Updated 5 years ago
- source code for NAACL2022 main conference "Dynamic Programming in Rank Space: Scaling Structured Inference with Low-Rank HMMs and PCFGs"☆10Sep 26, 2022Updated 3 years ago
- A method for evaluating the high-level coherence of machine-generated texts. Identifies high-level coherence issues in transformer-based …☆11Mar 18, 2023Updated 3 years ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆290Feb 1, 2021Updated 5 years ago
- Understanding normalizing flows☆132Dec 2, 2019Updated 6 years ago
- Code for EMNLP18 paper "Spherical Latent Spaces for Stable Variational Autoencoders"☆172Dec 12, 2018Updated 7 years ago
- Pytorch version of Continuous Language Generative Flow (ACL 2021)☆11Sep 14, 2021Updated 4 years ago
- Implementation of Cascaded Head-colliding Attention (ACL'2021)☆11Sep 16, 2021Updated 4 years ago
- Code for Neural Spline Flows paper☆286Oct 19, 2025Updated 5 months ago
- Code for the paper "Stack Attention: Improving the Ability of Transformers to Model Hierarchical Patterns"☆18Mar 15, 2024Updated 2 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆183Aug 19, 2021Updated 4 years ago
- Code for reproducing Flow ++ experiments☆191Apr 27, 2019Updated 6 years ago
- ☆10Feb 12, 2020Updated 6 years ago
- Code for the paper "Understanding the Mechanics of SPIGOT: Surrogate Gradients for Latent Structure Learning"☆11May 5, 2021Updated 4 years ago
- ☆178Jul 31, 2020Updated 5 years ago
- GATSBI: Generative Adversarial Training for Simulation-Based Inference☆19Jul 13, 2023Updated 2 years ago
- The PyTorch implementation of the GLF☆22Oct 12, 2021Updated 4 years ago
- ☆181Jul 5, 2019Updated 6 years ago
- Tutorial on normalizing flows.☆299Jan 17, 2018Updated 8 years ago
- Normalizing flows in PyTorch. Current intended use is education not production.☆912Jan 27, 2020Updated 6 years ago
- This software automatically sends you emails to notify you of the latest progress of your deep learning programs.☆20Jul 2, 2021Updated 4 years ago
- Variable-order CRFs with structure learning☆17Aug 1, 2024Updated last year
- ☆12Mar 7, 2022Updated 4 years ago
- Official PyTorch (Lightning) implementation of the NeurIPS 2020 paper "Efficient Marginalization of Discrete and Structured Latent Variab…☆27May 3, 2021Updated 4 years ago