artix41 / ALFI-pytorchLinks
Code for the paper Recurrent Machines for Likelihood-Free Inference
☆15Updated 6 years ago
Alternatives and similar repositories for ALFI-pytorch
Users that are interested in ALFI-pytorch are comparing it to the libraries listed below
Sorting:
- MCMC methods for neural networks☆10Updated last year
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆25Updated 4 years ago
- Quasi-Newton Algorithm for Stochastic Optimization☆10Updated 3 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆16Updated 5 years ago
- Extended Mean Field Restricted Boltzmann Machine☆16Updated 8 years ago
- Notebooks for IPAM Tutorial, March 15 2019☆24Updated 6 years ago
- Canonical normalizing flows☆10Updated 6 years ago
- LaTeX source code for the slides☆23Updated 3 years ago
- DQV-Learning: a novel faster synchronous Deep Reinforcement Learning algorithm☆25Updated 2 years ago
- Scalable Log Determinants for Gaussian Process Kernel Learning (https://arxiv.org/abs/1711.03481) (NIPS 2017)☆18Updated 7 years ago
- Layered distributions using FLAX/JAX☆10Updated 4 years ago
- Code for "Boosted Generative Models", AAAI 2018.☆20Updated 7 years ago
- Code repository for the generalized Galton board example in the paper "Mining gold from implicit models to improve likelihood-free infere…☆33Updated 5 years ago
- A differentiation API for PyTorch☆30Updated 4 years ago
- python-based shapelet decomposition package☆26Updated 8 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Auxiliary variable Markov chain Monte Carlo methods☆10Updated 7 years ago
- Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'☆26Updated 4 years ago
- MCMC for the Dark Energy Spectroscopic Instrument☆13Updated 9 years ago
- Code to perform Model-Free Episodic Control using Aurora OPUs☆17Updated 5 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 10 years ago
- ☆30Updated 2 years ago
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆25Updated 6 years ago
- Active Learning: Predictors, Recommenders and Labellers☆20Updated 2 years ago
- A pytorch version of hamiltonian monte carlo☆14Updated 5 years ago
- AI Physicist, a paradigm with algorithms for learning theories from data, by Wu and Tegmark (2019)☆34Updated 4 years ago
- Official implementation of the paper "Approximating two value functions instead of one: towards characterizing a new family of Deep Reinf…☆11Updated 3 years ago
- Code for the indexed convolution☆16Updated last year
- Compute set of important operations for HCTSA code☆26Updated 5 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 10 years ago