LecJackS / CS-330-Deep-Multi-Task-and-Meta-LearningLinks
https://cs330.stanford.edu/
☆62Updated 2 years ago
Alternatives and similar repositories for CS-330-Deep-Multi-Task-and-Meta-Learning
Users that are interested in CS-330-Deep-Multi-Task-and-Meta-Learning are comparing it to the libraries listed below
Sorting:
- My notes and assignment solutions for Stanford CS330 (Fall 2019 & 2020) Deep Multi-Task and Meta Learning☆41Updated 2 years ago
- Meta learning is a subfield of machine learning where automatic learning algorithms are applied on metadata about machine learning experi…☆29Updated 6 years ago
- Meta learning framework with Tensorflow 2.0☆117Updated 3 years ago
- PyTorch Implementation of Reptile☆20Updated 5 years ago
- Useful resources to learn lifelong learning☆22Updated 7 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
- Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi …☆66Updated 5 years ago
- Avalanche fork adding RL support☆78Updated 2 years ago
- some bravo or inspiring research works on the topic of curriculum learning☆246Updated 3 years ago
- The newest reading list for representation learning☆117Updated 4 years ago
- This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles e…☆86Updated last month
- Implementation for paper "A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning".☆60Updated last year
- Official implementation of Learning The Pareto Front With HyperNetworks [ICLR 2021]☆105Updated 3 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
- The Research Tree - A playground for research at the intersection of Continual, Reinforcement, and Self-Supervised Learning.☆197Updated 2 years ago
- Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fin…☆170Updated 3 years ago
- Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch☆255Updated 3 years ago
- A curated list of awesome human-centered AI resources.☆49Updated 3 years ago
- ☆46Updated last year
- Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"☆80Updated 5 years ago
- A simple implementation of Batch Normalization using pytorch.☆44Updated 5 years ago
- A Pytorch implementation of MAML☆59Updated 3 years ago
- ☆239Updated 5 years ago
- Energy-Based Models for Continual Learning Official Repository (PyTorch)☆44Updated 3 years ago
- Causal Variational AutoEncoders☆29Updated 5 years ago
- Package for working with hypernetworks in PyTorch.☆131Updated 2 years ago
- An education step by step implementation of SimCLR that accompanies the blogpost☆31Updated 3 years ago
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆58Updated 7 years ago
- Collection of algorithms to learn loss and reward functions via gradient-based bi-level optimization.☆103Updated 4 years ago
- A simple PyTorch implementation of Population Based Training of Neural Networks.☆64Updated 6 years ago