gisilvs / AEF
☆33Updated 2 years ago
Alternatives and similar repositories for AEF:
Users that are interested in AEF are comparing it to the libraries listed below
- 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
- AdaCat☆49Updated 2 years ago
- ☆15Updated 4 years ago
- Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology☆35Updated 4 years ago
- Implementation of LogAvgExp for Pytorch☆34Updated 2 years ago
- Official PyTorch implementation of Spatial Dependency Networks.☆35Updated 4 years ago
- ☆21Updated 2 years ago
- JAX exponential map normalising flows on sphere☆17Updated 4 years ago
- Transformers with doubly stochastic attention☆45Updated 2 years ago
- Flax (JAX) implementation of Progressive Growing of GANs for Improved Quality, Stability, and Variation☆12Updated 3 years ago
- ☆47Updated 2 years ago
- The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…☆54Updated 2 years ago
- Implementation of "compositional attention" from MILA, a multi-head attention variant that is reframed as a two-step attention process wi…☆50Updated 2 years ago
- A new play-and-plug method of controlling an existing generative model with conditioning attributes and their compositions.☆72Updated 3 years ago
- code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"☆26Updated 2 years ago
- [ICML 2022] Official implementation of "Score-Guided Intermediate Layer Optimization: Fast Langevin Mixing for Inverse Problems".☆11Updated 2 years ago
- Texture mapping with variational auto-encoders☆40Updated 3 years ago
- FID computation in Jax/Flax.☆27Updated 8 months ago
- Pedagogical codebase for a simplified score-based generative model design, with training loop☆39Updated 3 years ago
- Repository for the "Gotta Go Fast When Generating Data with Score-Based Models" paper☆104Updated 3 years ago
- General Invertible Transformations for Flow-based Generative Models☆17Updated 4 years ago
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆44Updated last year
- Repository for the paper "Simple and Effective VAE Training with Calibrated Decoders"☆29Updated 3 years ago
- Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'☆25Updated 3 years ago
- Implementation of deep implicit attention in PyTorch☆65Updated 3 years ago
- ☆29Updated 4 years ago
- Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations☆27Updated 2 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 3 years ago
- Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch☆24Updated 4 years ago