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:
- Python implementation of Bayesian Program Learning tools (with PyTorch)☆74Updated 3 years ago
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆27Updated 6 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 6 years ago
- A Python implementation of the gradient REBAR estimator.☆46Updated 7 years ago
- The Limited Multi-Label Projection Layer☆59Updated last year
- Code for the paper Gaussian process behaviour in wide deep networks☆46Updated 7 years ago
- ☆15Updated 6 years ago
- Lagrangian VAE☆28Updated 7 years ago
- Implementation of Model-Agnostic Meta-Learning (MAML) in Jax☆191Updated 3 years ago
- Measuring compositionality in representation learning☆73Updated 6 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 6 years ago
- Autoregressive Energy Machines☆78Updated 3 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 6 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆60Updated 6 years ago
- Code for NeurIPS 2019 paper: "Symmetry-Based Disentangled Representation Learning requires Interaction with Environments" by H. Caselles-…☆35Updated 6 years ago
- a python implementation of various versions of the information bottleneck, including automated parameter searching☆130Updated 5 years ago
- Monotone operator equilibrium networks☆54Updated 5 years ago
- Implementation of Sum-Product Attend-Infer-Repeat☆31Updated 5 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- Discrete Object Generation with Reversible Inductive Construction (NeurIPS 2019)☆30Updated 4 years ago
- ☆35Updated 4 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆101Updated 7 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆29Updated 6 years ago
- a light weight experiment reproducibility toolset☆40Updated 5 years ago
- RL Experiments from our paper "Backpropagation Through the Void": https://arxiv.org/abs/1711.00123. Lovingly forked from OpenAI's RL Base…☆39Updated 7 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆43Updated 6 years ago
- A curated list of awesome neural programming resources☆55Updated 7 years ago
- Lua implementation of Entropy-SGD☆81Updated 7 years ago