133 Open source projects that are alternatives of or similar to HebbianMetaLearning

Repository containing code for the paper "Meta-Learning with Sparse Experience Replay for Lifelong Language Learning".

Life-Disciplines-Projects (LDP) is a life-management framework built within Obsidian. Feel free to transform it for your own personal needs.

Great resources for making Reinforcement Learning work in Real Life situations. Papers,projects and more.

A hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning models.

Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.

No description or website provided.

Code for the paper "Evolved Policy Gradients"

Official implementation of Meta-StyleSpeech and StyleSpeech

Python implementation of the Epigenetic Robotic Architecture (ERA). It includes standalone classes for Self-Organizing Maps (SOM) and Hebbian Networks.

NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).

Learning Meta Face Recognition in Unseen Domains, CVPR, Oral, 2020

Winning Solution of the NeurIPS 2020 Competition on Predicting Generalization in Deep Learning

Code of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients

PyPi Package of Self-Organizing Recurrent Neural Networks (SORN) and Neuro-robotics using OpenAI Gym

Official Implementation of Remembering for the Right Reasons (ICLR 2021)

Tools for generating mini-ImageNet dataset and processing batches

Source code for ECCV2020 "Fast Adaptation to Super-Resolution Networks via Meta-Learning"

Python module to interface with OpenML

AirLoop: Lifelong Loop Closure Detection

Meta-Transfer Learning for Zero-Shot Super-Resolution (CVPR, 2020)

Learning To Compare For Text , Few shot learning in text classification

Learning to Learn how to Learn: Self-Adaptive Visual Navigation using Meta-Learning (https://arxiv.org/abs/1812.00971)

One-Shot Learning with Triplet CNNs in Pytorch

Awesome Few-shot learning

pytorch implementation of Optimization as a Model for Few-shot Learning

PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models (IN PROGRESS)

TensorFlow 2.0 implementation of MAML.

PyTorch implementation of our Adam-NSCL algorithm from our CVPR2021 (oral) paper "Training Networks in Null Space for Continual Learning"

LibFewShot: A Comprehensive Library for Few-shot Learning.

PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)

Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"

PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"

Code for "One-Shot Visual Imitation Learning via Meta-Learning"

Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"

The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"

Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022), and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (Neural Networks 2022 - in submission)

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.

Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)

Implementation for <Neural Similarity Learning> in NeurIPS'19.

A classified list of meta learning papers based on realm.

Python Meta-Feature Extractor package.

ProMP: Proximal Meta-Policy Search

Code for FOCAL Paper Published at ICLR 2021

A list of recent papers about Meta / few-shot learning methods applied in NLP areas.

[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images

All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.

awesome few shot / meta learning papers

The code for paper "CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning"

Repository to track the progress in Meta-Learning (MtL), including the datasets and the current state-of-the-art for the most common MtL problems.

My personal toolkit for PyTorch development.

Official PyTorch implementation of "Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets" (ICLR 2021)

Meta R-CNN : Towards General Solver for Instance-level Low-shot Learning

Collection of Reinforcement Learning / Meta Reinforcement Learning Environments.

Bilevel Optimization Library in Python for Multi-Task and Meta Learning

Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem

[CVPR2021] Meta Batch-Instance Normalization for Generalizable Person Re-Identification

Official code for NeurRIPS 2020 paper "Rel3D: A Minimally Contrastive Benchmark for Grounding Spatial Relations in 3D"

Tensorflow Implementation of FaceNet: A Unified Embedding for Face Recognition and Clustering to find the celebrity whose face matches the closest to yours.

Repo for "3D-PV-Locator: Large-scale detection of rooftop-mounted photovoltaic systems in 3D" based on Applied Energy publication.