dualslash / reptile-torchLinks
PyTorch Implementation of Reptile
☆21Updated 4 years ago
Alternatives and similar repositories for reptile-torch
Users that are interested in reptile-torch are comparing it to the libraries listed below
Sorting:
- Baselines for Model-Based Optimization☆54Updated 3 years ago
- Noise Contrastive Estimation (NCE) in PyTorch☆32Updated 8 months ago
- [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…☆14Updated 3 years ago
- Pytorch implementation of neural processes and variants☆29Updated last year
- A Pytorch implementation of MAML☆58Updated 2 years ago
- Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxi…☆68Updated 4 years ago
- A study on the following problems: what the memorization problem is in meta-learning; why memorization problem happens; and how we can pr…☆21Updated 2 years ago
- Official implementation of Transformer Neural Processes☆78Updated 3 years ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 5 years ago
- ☆15Updated 5 years ago
- A PyTorch implementation of "Meta-Amortized Variational Inference and Learning" (https://arxiv.org/abs/1902.01950)☆14Updated 5 years ago
- Official PyTorch implementation of "EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization"☆22Updated 4 years ago
- Energy-Based Models for Continual Learning Official Repository (PyTorch)☆44Updated 3 years ago
- ☆16Updated 2 years ago
- This is reimplementation of "Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness" in Pyt…☆52Updated 4 years ago
- Repo to accompany paper on Meta Learning with Implicit Gradients (NeurIPS 2019)☆59Updated 5 years ago
- Pytorch Implementation of the Nonlinear Information Bottleneck☆40Updated last year
- The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization".☆13Updated 4 years ago
- Simple illustrative examples for energy-based models in PyTorch☆67Updated 5 years ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆35Updated 3 years ago
- Energy Based Models are a quite novel technique for density estimation. In this university project I explore this new research topic and …☆16Updated 4 years ago
- Coresets via Bilevel Optimization☆67Updated 5 years ago
- [ICML'21] Improved Contrastive Divergence Training of Energy Based Models☆66Updated 3 years ago
- Gradient-based Hyperparameter Optimization Over Long Horizons☆14Updated 4 years ago
- PyTorch implementation of Probabilistic Network Ensembles on toy problems☆23Updated 2 years ago
- Official implementation of Learning The Pareto Front With HyperNetworks [ICLR 2021]☆105Updated 3 years ago
- Code for the paper 'Continual Learning via Sequential Function-Space Variational Inference'☆25Updated 2 years ago
- Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')☆16Updated 3 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆61Updated 6 years ago
- Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks☆13Updated 3 years ago