excitingtimes / awesome-survey-papers
A collection of Survey Papers in Machine Learning
☆21Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for awesome-survey-papers
- A Pytorch Implementation of Attentive Neural Process☆73Updated 5 years ago
- Implementation and tutorials of normalizing flows with the novel distributions module☆160Updated 4 years ago
- Discrete Normalizing Flows implemented in PyTorch☆107Updated 3 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆87Updated 6 months ago
- Code for Neural Spline Flows paper☆259Updated 4 years ago
- Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"☆80Updated 4 years ago
- Hessian spectral density estimation in TF and Jax☆115Updated 4 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆82Updated last year
- A collection of meta-learning algorithms in Jax☆23Updated 2 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 2 years ago
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆272Updated 11 months ago
- Experiments for the Neural Autoregressive Flows paper☆123Updated 3 years ago
- The Research Tree - A playground for research at the intersection of Continual, Reinforcement, and Self-Supervised Learning.☆191Updated last year
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆90Updated 7 months ago
- scipy linear operators for the Hessian, Fisher/GGN, and more in PyTorch☆18Updated this week
- Code for the paper Semi-Conditional Normalizing Flows for Semi-Supervised Learning☆28Updated 3 years ago
- Implementation of the Convolutional Conditional Neural Process☆121Updated 3 years ago
- Manifold-learning flows (ℳ-flows)☆230Updated 4 years ago
- The Modified Differential Multiplier Method (MDMM) for PyTorch☆51Updated 3 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆54Updated last year
- Memory efficient MAML using gradient checkpointing☆83Updated 4 years ago
- 🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervi…☆124Updated last year
- Pytorch implementation of the Power Spherical distribution☆73Updated 4 months ago
- A curated list of techniques to avoid posterior collapse☆85Updated last year
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆107Updated this week
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆42Updated 2 years ago
- Pytorch implementation of Neural Processes for functions and images☆225Updated 2 years ago
- Masked Autoregressive Flow☆204Updated 3 months ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 2 years ago
- ☆178Updated 5 years ago