UCLA-StarAI / LogisticCircuitLinks
Logistic Circuits
☆36Updated 6 years ago
Alternatives and similar repositories for LogisticCircuit
Users that are interested in LogisticCircuit are comparing it to the libraries listed below
Sorting:
- ☆15Updated 6 years ago
- Python implementation of Bayesian Program Learning tools (with PyTorch)☆72Updated 3 years ago
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆28Updated 6 years ago
- Implementation of Sum-Product Attend-Infer-Repeat☆31Updated 5 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- A Python implementation of the gradient REBAR estimator.☆46Updated 7 years ago
- Lagrangian VAE☆28Updated 6 years ago
- NeurIPS 2018. Linear-time model comparison tests.☆18Updated 5 years ago
- Measuring compositionality in representation learning☆73Updated 6 years ago
- Semantic Loss code☆59Updated 6 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Autoregressive Energy Machines☆78Updated 2 years ago
- Monotone operator equilibrium networks☆53Updated 5 years ago
- Code for NeurIPS 2019 paper: "Symmetry-Based Disentangled Representation Learning requires Interaction with Environments" by H. Caselles-…☆35Updated 5 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- ☆80Updated 3 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 6 years ago
- Code for the benchmark containing dataset, models and metrics for productive concept learning -- a kind of compositional reasoning task t…☆17Updated 3 years ago
- Code for "Systematic Generalization: What Is Required and Can It Be Learned"☆37Updated 6 years ago
- a light weight experiment reproducibility toolset☆40Updated 4 years ago
- ☆52Updated last year
- ☆80Updated last year
- Implementation of Model-Agnostic Meta-Learning (MAML) in Jax☆191Updated 2 years ago
- Geometric Certifications of Neural Nets☆42Updated 2 years ago
- RL Experiments from our paper "Backpropagation Through the Void": https://arxiv.org/abs/1711.00123. Lovingly forked from OpenAI's RL Base…☆38Updated 7 years ago
- An implementation of DIP-VAE from the paper "Variational Inference of Disentangled Latent Concepts from Unlabelled Observations" by Kumar…☆26Updated 7 years ago
- Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).☆22Updated 6 years ago
- ☆169Updated 11 months ago
- A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.☆50Updated last year
- ☆49Updated 4 years ago