jmtomczak / git_flowLinks
General Invertible Transformations for Flow-based Generative Models
☆18Updated 4 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:
- Repo reproducing experimental results in "Addressing the Topological Defects of Disentanglement"☆22Updated 2 years ago
- Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'☆26Updated 4 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"☆26Updated 2 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- ☆53Updated 10 months ago
- ☆29Updated 3 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 3 years ago
- A TensorFlow implementation of perceptual generative autoencoder (PGA).☆23Updated 4 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆14Updated 6 years ago
- Transformers with doubly stochastic attention☆45Updated 2 years ago
- ☆33Updated 2 years ago
- [ICML'21 Oral] Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding☆14Updated 3 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Updated 4 years ago
- Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology☆36Updated 4 years ago
- Code for the paper Semi-Conditional Normalizing Flows for Semi-Supervised Learning☆27Updated 3 years ago
- Code for the paper "Semi-Conditional Normalizing Flows for Semi-Supervised Learning"☆10Updated 5 years ago
- ☆37Updated 3 years ago
- ☆24Updated 3 years ago
- AdaCat☆49Updated 2 years ago
- ☆28Updated 3 years ago
- An implementation of (Induced) Set Attention Block, from the Set Transformers paper☆59Updated 2 years ago
- Random feature latent variable models in Python☆22Updated last year
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆36Updated 2 years ago
- ☆30Updated 4 years ago
- Very deep VAEs in JAX/Flax☆46Updated 3 years ago
- Code for ICLR 2021 Paper, "Anytime Sampling for Autoregressive Models via Ordered Autoencoding"☆26Updated last year
- Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"☆49Updated 4 years ago
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆22Updated 5 years ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 5 years ago