pylon-lib / pylonLinks
☆122Updated last year
Alternatives and similar repositories for pylon
Users that are interested in pylon are comparing it to the libraries listed below
Sorting:
- Implementation for the Neural Logic Machines (NLM).☆289Updated 6 years ago
- This repository holds the code for the NeurIPS 2022 paper, Semantic Probabilistic Layers☆30Updated last year
- Stochastic Automatic Differentiation library for PyTorch.☆205Updated 11 months ago
- Code for "Stochastic Optimization of Sorting Networks using Continuous Relaxations", ICLR 2019.☆146Updated 2 years ago
- Python implementation of Bayesian Program Learning tools (with PyTorch)☆74Updated 3 years ago
- Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks☆301Updated last month
- A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.☆49Updated last year
- Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.☆131Updated 4 years ago
- ☆46Updated last year
- Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras☆48Updated 4 years ago
- Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"☆85Updated last year
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆87Updated 3 years ago
- Neural Logic Inductive Learning☆44Updated 3 years ago
- symbolic regression☆39Updated 3 years ago
- A python package of Zeroth-Order Optimization (ZOOpt)☆71Updated 2 years ago
- Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.☆50Updated 2 years ago
- Conditional Theorem Proving☆53Updated 4 years ago
- Generative Forests in Python☆35Updated 2 years ago
- LaTeX style file for the Journal of Machine Learning Research☆143Updated last year
- ☆52Updated last year
- paper lists and information on mean-field theory of deep learning☆78Updated 6 years ago
- Python toolbox for sampling Determinantal Point Processes☆230Updated 11 months ago
- Symbolic Reinforcement Learning using Inductive Logic Programming☆62Updated 2 years ago
- List of relevant resources for machine learning from explanatory supervision☆159Updated 3 weeks ago
- a python implementation of various versions of the information bottleneck, including automated parameter searching☆128Updated 5 years ago
- Code for "Neural causal learning from unknown interventions"☆104Updated 5 years ago
- Source code of Neural Logic Reinforcement Learning (https://arxiv.org/abs/1904.10729)☆76Updated 5 years ago
- CausalFlows: A library for Causal Normalizing Flows in Pytorch☆23Updated 3 months ago
- Torch modules that wrap blackbox combinatorial solvers according to the method presented in "Differentiating Blackbox Combinatorial Solve…☆346Updated 3 years ago
- CSuite: A Suite of Benchmark Datasets for Causality☆72Updated 2 years ago