emstoudenmire / parity
Experiments learning the even-parity dataset with MPS (tensor trains)
☆23Updated last year
Alternatives and similar repositories for parity
Users that are interested in parity are comparing it to the libraries listed below
Sorting:
- u-MPS implementation and experimentation code used in the paper Tensor Networks for Probabilistic Sequence Modeling (https://arxiv.org/ab…☆19Updated 4 years ago
- ProBO: Versatile Bayesian Optimization Using Any Probabilistic Programming Language☆16Updated 5 years ago
- Automatic differentiation for NumPy☆42Updated 11 years ago
- Generic API for dispatch to Pyro backends.☆16Updated 3 years ago
- Reference implementation of algorithms for reinforcement learning and Markov decision processes.☆12Updated 4 years ago
- First-Order Probabilistic Programming Language☆28Updated 5 years ago
- Learning to Prune: Exploring the Frontier of Fast and Accurate Parsing☆22Updated 7 months ago
- Matlab code implementing Minimum Probability Flow Learning.☆68Updated 10 years ago
- Repository of models in Pyro☆29Updated 9 months ago
- ☆30Updated 3 years ago
- ☆33Updated 4 years ago
- Code accompanying the paper "Automating Involutive MCMC using Probabilistic and Differentiable Programming"☆13Updated 4 years ago
- ☆18Updated 3 years ago
- LaTeX source code for the slides☆23Updated 3 years ago
- Code for the paper "Learning to Prove Theorems by Learning to Generate Theorems"☆32Updated 4 years ago
- Empirical Likelihood for Contextual Bandits☆12Updated 4 years ago
- Code for the 2-simplicial Transformer paper☆18Updated 5 years ago
- Discontinuous Hamiltonian Monte Carlo in JAX☆41Updated 5 years ago
- Learn to build neural networks from scratch, simply. No autograd, no deep learning libraries - just numpy.☆11Updated 2 years ago
- Recognizing and exploiting conjugacy without a domain-specific language☆36Updated 5 years ago
- Probabilistic Programming eXecution protocol (PPX)☆75Updated 3 years ago
- Combining Symbolic and Function Evaluation Expressions In Neural Programs☆34Updated 5 years ago
- PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020☆17Updated 3 years ago
- "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu☆27Updated 6 years ago
- Improving spiking dynamical networks: Accurate delays, higher-order synapses, and time cells☆7Updated 7 years ago
- Official code for paper LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning☆29Updated 3 years ago
- Infinite relational model (IRM) for datamicroscopes☆14Updated 9 years ago
- Lernd is ∂ILP (dILP) framework implementation based on Deepmind's paper Learning Explanatory Rules from Noisy Data.☆25Updated 2 years ago
- Prototypes of differentiable differential equation solvers in JAX.☆27Updated 5 years ago
- Quasi-Newton Algorithm for Stochastic Optimization☆10Updated 2 years ago