excitingtimes / awesome-survey-papersLinks
A collection of Survey Papers in Machine Learning
☆20Updated 3 years ago
Alternatives and similar repositories for awesome-survey-papers
Users that are interested in awesome-survey-papers are comparing it to the libraries listed below
Sorting:
- Differentiable computations for the signature-PDE-kernel on CPU and GPU.☆55Updated last year
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆40Updated 2 months ago
- Code for our paper: Online Variational Filtering and Parameter Learning☆18Updated 3 years ago
- A minimalist implementation of score-based diffusion model☆127Updated 3 years ago
- Implementation of normalizing flows in TensorFlow 2 including a small tutorial.☆147Updated last month
- Transformers with doubly stochastic attention☆46Updated 2 years ago
- Deep Probabilistic Programming Course @ DIKU☆57Updated 4 years ago
- This repository contains code for applying Riemannian geometry in machine learning.☆77Updated 4 years ago
- Discrete Normalizing Flows implemented in PyTorch☆114Updated 3 years ago
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆87Updated 3 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆103Updated last year
- Bayesianize: A Bayesian neural network wrapper in pytorch☆88Updated last year
- Minimalistic, hackable PyTorch implementation of SimSiam in ~400 lines. Achieves good performance on ImageNet with ResNet50. Features dis…☆19Updated 7 months ago
- Amortized Probabilistic Conditioning for Optimization, Simulation and Inference (Chang et al., AISTATS 2025)☆16Updated 2 months ago
- Non official implementation of the Linear Recurrent Unit (LRU, Orvieto et al. 2023)☆53Updated 7 months ago
- PyTorch-based library for various kinds of representational-similarity analysis☆24Updated last year
- Hessian spectral density estimation in TF and Jax☆123Updated 4 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆54Updated 2 years ago
- The accompanying code for "Simplifying and Understanding State Space Models with Diagonal Linear RNNs" (Ankit Gupta, Harsh Mehta, Jonatha…☆22Updated 2 years ago
- Tools to connect to and interact with the Mila cluster☆72Updated 2 weeks ago
- Implementation of a list sweeper: instead of the cartesian product, sweep over the zipped list☆23Updated 3 months ago
- Implementation and tutorials of normalizing flows with the novel distributions module☆167Updated 4 years ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆19Updated 3 years ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 2 years ago
- Reduce multiple PyTorch TensorBoard runs to new event (or CSV) files.☆74Updated 3 weeks ago
- Code for the Thermodynamic Variational Objective☆26Updated 3 years ago
- A PyTorch re-implementation of "Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives"☆18Updated 5 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆84Updated 2 years ago
- A mini library for Policy Gradients with Parameter-based Exploration, with reference implementation of the ClipUp optimizer (https://arxi…☆71Updated 4 years ago
- ☆54Updated 11 months ago