locuslab / SATNetLinks
Bridging deep learning and logical reasoning using a differentiable satisfiability solver.
☆417Updated 2 years ago
Alternatives and similar repositories for SATNet
Users that are interested in SATNet are comparing it to the libraries listed below
Sorting:
- Implementation for the Neural Logic Machines (NLM).☆290Updated 6 years ago
- Torch modules that wrap blackbox combinatorial solvers according to the method presented in "Differentiating Blackbox Combinatorial Solve…☆347Updated 3 years ago
- Differentiable Optimization-Based Modeling for Machine Learning☆340Updated 5 years ago
- Differentiable Neural Computers, Sparse Access Memory and Sparse Differentiable Neural Computers, for Pytorch☆345Updated 2 months ago
- A structured list of resources about Sum-Product Networks (SPNs)☆254Updated 4 years ago
- A colab that implements the Symplectic Gradient Adjustment optimizer from "The mechanics of n-player differentiable games"☆153Updated 6 years ago
- Code for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes…☆246Updated 5 years ago
- NeuroSAT: Learning a SAT Solver from Single-Bit Supervision☆286Updated 6 years ago
- Named Tensor implementation for Torch☆446Updated 3 years ago
- Implementation of Model-Agnostic Meta-Learning (MAML) in Jax☆191Updated 2 years ago
- hessian in pytorch☆187Updated 4 years ago
- Logistic Circuits☆36Updated 6 years ago
- Guided Evolutionary Strategies☆272Updated 2 years ago
- Neural Turing Machines (NTM) - PyTorch Implementation☆600Updated 7 years ago
- Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with appl…☆380Updated 2 years ago
- Differentiable bitonic sorting☆141Updated 5 years ago
- PHYRE is a benchmark for physical reasoning.☆449Updated 2 years ago
- Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks☆303Updated last week
- Hypergradient descent☆149Updated last year
- DL2 is a framework that allows training neural networks with logical constraints over numerical values in the network (e.g. inputs, out…☆86Updated last year
- a python implementation of various versions of the information bottleneck, including automated parameter searching☆128Updated 5 years ago
- Contrastive Learning of Structured World Models☆394Updated 5 years ago
- ☆183Updated last year
- lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.☆377Updated 2 years ago
- Optimizing control variates for black-box gradient estimation☆163Updated 6 years ago
- explore DNNs via Infomration☆265Updated 5 years ago
- Code accompanying the paper Recurrent Relational Networks for Complex Relational Reasoning https://arxiv.org/abs/1711.08028☆202Updated 2 years ago
- Probabilistic Torch is library for deep generative models that extends PyTorch☆890Updated last year
- ☆219Updated 7 years ago
- Tensorflow implementation of a Neural Turing Machine☆609Updated 4 years ago