☆17May 28, 2018Updated 7 years ago
Alternatives and similar repositories for pytorch-normalizing-flows
Users that are interested in pytorch-normalizing-flows are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for 'Inference Suboptimality in Variational Autoencoders'☆10May 22, 2020Updated 5 years ago
- Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)☆245Sep 3, 2018Updated 7 years ago
- ☆65Apr 15, 2019Updated 7 years ago
- Experiments for the Neural Autoregressive Flows paper☆125Jun 10, 2021Updated 4 years ago
- ☆13Feb 2, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Pytorch implementation of Wasserstein Auto-Encoders☆25Feb 7, 2018Updated 8 years ago
- ☆181Jul 5, 2019Updated 6 years ago
- Beta-VAE implementations in both PyTorch and Tensorflow☆22Jul 26, 2018Updated 7 years ago
- Model implementation and trained network for "A Two-Step Disentanglement Method" by Naama Hadad, Lior Wolf and Moni Shahar☆21Mar 21, 2018Updated 8 years ago
- MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders☆23Apr 30, 2019Updated 7 years ago
- Reinforcement learning library for PyTorch.☆11Jun 15, 2018Updated 7 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆183Aug 19, 2021Updated 4 years ago
- PyTorch implementation of the paper "Neural Decomposition: Functional ANOVA with Variational Autoencoders"☆25Jun 30, 2020Updated 5 years ago
- Understanding normalizing flows☆132Dec 2, 2019Updated 6 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Low Precision Arithmetic Simulation in PyTorch - extension for posit and beyond☆16Dec 9, 2025Updated 4 months ago
- 2010-2014 American Movie Trailers☆11Mar 26, 2017Updated 9 years ago
- PyTorch implementation of AVF☆45Sep 2, 2020Updated 5 years ago
- [AAAI20] TensorFlow implementation of the Collaborative Sampling in Generative Adversarial Networks☆24Jun 25, 2020Updated 5 years ago
- NeurIPS 2019 Paper Implementation☆12Nov 22, 2022Updated 3 years ago
- Code for "oi-VAE: Output Interpretable VAEs for Nonlinear Group Factor Analysis"☆27Feb 24, 2020Updated 6 years ago
- Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection☆22Jan 21, 2021Updated 5 years ago
- Implementation of: Kristiadi, Agustinus, and Asja Fischer. "Predictive Uncertainty Quantification with Compound Density Networks." (2019)…☆16May 26, 2022Updated 3 years ago
- A PyTorch implement of Dilated RNN☆11Dec 31, 2017Updated 8 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- This repository hosts the dataset and source code for "A causal view of compositional zero-shot recognition". Yuval Atzmon, Felix Kreuk, …☆27Aug 1, 2021Updated 4 years ago
- Open source code combining implementations of Upside Down Reinforcement Learning and Reward Conditioned Policies☆20Mar 10, 2021Updated 5 years ago
- CS231n Convolutional Neural Networks for Visual Recognition☆12Aug 17, 2021Updated 4 years ago
- An open source time series library for Python using Matrix Profile☆12Jun 29, 2017Updated 8 years ago
- ☆122Oct 31, 2019Updated 6 years ago
- ☆11Sep 8, 2017Updated 8 years ago
- Official implementation of "Physics-Informed Long-Sequence Forecasting From Multi-Resolution Spatiotemporal Data".☆10Dec 12, 2022Updated 3 years ago
- Learning Longer-term Dependencies in RNNs with Auxiliary Losses - Implementation in PyTorch.☆17Aug 26, 2018Updated 7 years ago
- Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch☆57Dec 22, 2017Updated 8 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- ☆10Apr 2, 2018Updated 8 years ago
- A curated list of awesome succulent and cactus identification, cultivation, care, and advisory resources.☆11Aug 28, 2016Updated 9 years ago
- A visualization of k-means clustering on terrorist attack locations☆10Apr 27, 2020Updated 6 years ago
- Code of "A Geometric Perspective on Variational Autoencoders" (NeurIPS 2022)☆15Nov 19, 2024Updated last year
- Efficient Learning Interpretable Shapelets for Accurate Time Series Classification, ICDE 2018☆14Feb 23, 2018Updated 8 years ago
- ☆17Jan 15, 2025Updated last year
- Prediction of Future location using Hidden Markov Model☆35Sep 23, 2017Updated 8 years ago