cunningham-lab / cb_and_ccLinks
☆36Updated 2 years ago
Alternatives and similar repositories for cb_and_cc
Users that are interested in cb_and_cc are comparing it to the libraries listed below
Sorting:
- ☆54Updated last year
- Pytorch implementation of the Power Spherical distribution☆74Updated last year
- Code for the Thermodynamic Variational Objective☆26Updated 3 years ago
- [IJCAI'19, NeurIPS'19] Anode: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs☆107Updated 4 years ago
- Normalizing Flows in Jax☆107Updated 5 years ago
- Implementation of stochastic variational inference for differentially deep gaussian processes☆15Updated 6 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 4 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆88Updated 2 years ago
- ☆51Updated last year
- Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)☆118Updated 4 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated last year
- ☆64Updated last year
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Updated 3 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆62Updated 2 years ago
- Autoregressive Energy Machines☆78Updated 2 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆120Updated 2 years ago
- Efficient Householder Transformation in PyTorch☆66Updated 4 years ago
- Official code for UnICORNN (ICML 2021)☆28Updated 3 years ago
- ☆123Updated 2 years ago
- CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.☆78Updated last year
- Monotone operator equilibrium networks☆53Updated 5 years ago
- ☆13Updated 2 years ago
- Code required to reproduce the experiments in Auxiliary Variational MCMC☆17Updated 6 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆181Updated 4 years ago
- ☆181Updated 6 years ago
- Implementation of the Convolutional Conditional Neural Process☆125Updated 4 years ago
- Codebase for Learning Invariances in Neural Networks☆96Updated 2 years ago