jmtomczak / git_flowLinks
General Invertible Transformations for Flow-based Generative Models
☆18Updated 5 years ago
Alternatives and similar repositories for git_flow
Users that are interested in git_flow are comparing it to the libraries listed below
Sorting:
- ☆33Updated 2 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 4 years ago
- An implementation of (Induced) Set Attention Block, from the Set Transformers paper☆65Updated 2 years ago
- Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology☆36Updated 4 years ago
- Very deep VAEs in JAX/Flax☆46Updated 4 years ago
- ☆64Updated last year
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Updated 3 years ago
- [ICML'21 Oral] Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding☆14Updated 4 years ago
- code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"☆27Updated 3 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 5 years ago
- ☆54Updated last year
- ☆24Updated 4 years ago
- Repo reproducing experimental results in "Addressing the Topological Defects of Disentanglement"☆22Updated 3 years ago
- Code for Understanding and Mitigating Exploding Inverses in Invertible Neural Networks (AISTATS 2021) http://arxiv.org/abs/2006.09347☆30Updated 5 years ago
- Repository for the "Gotta Go Fast When Generating Data with Score-Based Models" paper☆105Updated 4 years ago
- [AAAI 2020 Oral] Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution☆39Updated 4 years ago
- Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'☆27Updated 4 years ago
- ☆29Updated 4 years ago
- Code for ICLR 2021 Paper, "Anytime Sampling for Autoregressive Models via Ordered Autoencoding"☆26Updated 2 years ago
- AdaCat☆49Updated 3 years ago
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆57Updated 4 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Updated 4 years ago
- Monotone operator equilibrium networks☆54Updated 5 years ago
- Efficient Householder Transformation in PyTorch☆69Updated 4 years ago
- Random feature latent variable models in Python☆23Updated 2 years ago
- ☆50Updated 5 years ago
- Quantification of Uncertainty with Adversarial Models☆29Updated 2 years ago
- Implementation of deep implicit attention in PyTorch☆65Updated 4 years ago
- Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"☆49Updated 5 years ago
- JAX exponential map normalising flows on sphere☆17Updated 5 years ago