vinit97 / Few-Shot-Regression-Meta-Learning
☆36Updated this week
Related projects: ⓘ
- MAML and Reptile sine wave regression example in PyTorch☆17Updated 4 years ago
- ☆20Updated 3 years ago
- A PyTorch reimplementation of MAML, replicating some of the experiments from the paper.☆43Updated 6 years ago
- A Pytorch implementation of MAML☆47Updated last year
- code for the paper "Few-Shot Regression via Learning Sparsifying Basis Functions☆16Updated 4 years ago
- Code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance☆74Updated 5 years ago
- Implementation of MAML and Reptile algorithms with a JS demo on the sine regression toy experiment☆15Updated 3 years ago
- "Learning to learn by gradient descent by gradient descent "by PyTorch -- a simple re-implementation.☆58Updated 4 years ago
- MLTI for ICLR 2022☆30Updated 2 years ago
- Adversarial autoencoder (basic/semi-supervised/supervised)☆25Updated 2 years ago
- Implementation of Few-shot Domain Adaptation by Causal Mechanism Transfer (ICML 2020)☆39Updated last year
- PyTorch implementation of OpenAI's REPTILE Algorithm☆27Updated 6 years ago
- A collection of Gradient-Based Meta-Learning Algorithms with pytorch☆61Updated 4 years ago
- pytorch implementation of Optimization as a Model for Few-shot Learning☆173Updated last year
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆58Updated 5 years ago
- ☆31Updated last year
- Code release for Representation Subspace Distance for Domain Adaptation Regression (ICML 2021)☆70Updated 2 years ago
- Implementation of [Progressive Neural Networks](https://arxiv.org/abs/1606.04671) using Pytorch Framework☆49Updated 4 years ago
- Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperparameters"☆71Updated 2 years ago
- Code for the paper 'Continual Learning via Sequential Function-Space Variational Inference'☆22Updated last year
- Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)☆196Updated 2 years ago
- ☆17Updated last year
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆55Updated 5 years ago
- implementations sde-net☆14Updated 3 years ago
- Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates☆107Updated 3 years ago
- ☆150Updated 4 years ago
- Noise Contrastive Estimation (NCE) in PyTorch☆30Updated 10 months ago
- Wasserstein Based Domain Adaptation Model☆46Updated 5 years ago
- ARML for ICLR 2020☆42Updated 4 years ago
- ☆67Updated 5 years ago