tech-srl / weighted_lstarLinks
implementation for "learning weighted deterministic automata from queries and counterexamples", neurips 2019
☆18Updated 6 years ago
Alternatives and similar repositories for weighted_lstar
Users that are interested in weighted_lstar are comparing it to the libraries listed below
Sorting:
- implementation of ICML 2018 paper, Extracting Automata from Recurrent Neural Networks Using Queries and Counterexamples☆76Updated 6 years ago
- EMNLP 2020: On the Ability and Limitations of Transformers to Recognize Formal Languages☆24Updated 5 years ago
- Code for "Learning Compositional Rules via Neural Program Synthesis"☆60Updated 5 years ago
- Extracting minimal DFA's from well-trained RNN's☆11Updated 7 years ago
- Official implementation of Teaching Temporal Logics to Neural Networks (https://arxiv.org/abs/2003.04218)☆32Updated 4 years ago
- SyReNN: Symbolic Representations for Neural Networks☆41Updated 2 years ago
- Lernd is ∂ILP (dILP) framework implementation based on Deepmind's paper Learning Explanatory Rules from Noisy Data.☆27Updated 2 years ago
- DL2 is a framework that allows training neural networks with logical constraints over numerical values in the network (e.g. inputs, out…☆87Updated last year
- Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.☆53Updated 2 years ago
- Tree Stack Memory Units☆17Updated 5 years ago
- ☆15Updated 7 years ago
- Python package for Sentential Decision Diagrams (SDD)☆71Updated last month
- Combining Symbolic and Function Evaluation Expressions In Neural Programs☆34Updated 6 years ago
- Code for the benchmark containing dataset, models and metrics for productive concept learning -- a kind of compositional reasoning task t…☆17Updated 4 years ago
- Public Release of Plan2vec Implementation in pyTorch☆57Updated 3 years ago
- ☆50Updated 5 years ago
- Reachability Analysis of Deep Neural Networks with Provable Guarantees☆36Updated 5 years ago
- Python implementation of projection losses.☆27Updated 6 years ago
- ☆22Updated 4 years ago
- The Python PSDD Package☆19Updated 6 months ago
- PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020☆17Updated 4 years ago
- Metal: Learning a Meta-Solver for Syntax-Guided Program Synthesis☆15Updated 6 years ago
- ☆53Updated 2 years ago
- Code for Solving Black-Box Optimization Challenge via Learning Search Space Partition for Local Bayesian Optimization.☆21Updated 4 years ago
- Minimum Description Length Recurrent Neural Networks☆18Updated 2 years ago
- NeuroCore: Guiding CDCL with Unsat-Core Predictions☆47Updated 5 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆48Updated 6 years ago
- A Jax/Stax implementation of the general meta learning paper: Oh, J., Hessel, M., Czarnecki, W.M., Xu, Z., van Hasselt, H.P., Singh, S. a…☆23Updated 5 years ago
- An automata learning library written in Python.☆48Updated 5 years ago
- Code for the NeurIPS 2020 paper Efficient Exact Verification of Binarized Neural Networks☆13Updated 3 years ago