113 Open source projects that are alternatives of or similar to e-osvos

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

awesome few shot / meta learning papers

Pytorch implementation of Meta-Learning for Short Utterance Speaker Recognition with Imbalance Length Pairs (Interspeech, 2020)

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

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

Meta-DETR: Official PyTorch Implementation

Implementation of "Efficient Regional Memory Network for Video Object Segmentation". (Xie et al., CVPR 2021)

Official repository of https://arxiv.org/abs/2111.04040v1

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

Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686

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

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

MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entirely different from those used for meta-training.

Collection of Reinforcement Learning / Meta Reinforcement Learning Environments.

Implementation of Model-Agnostic Meta-Learning (MAML) applied on Reinforcement Learning problems in TensorFlow 2.

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

[CVPR 2021] Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion. Semi-supervised VOS as well!

Code for FOCAL Paper Published at ICLR 2021

[IJCAI 2021] Cross-Domain Few-Shot Classification via Adversarial Task Augmentation

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

Tensorflow implementation for paper: Learning to Compare: Relation Network for Few-Shot Learning.

LibFewShot: A Comprehensive Library for Few-shot Learning.

Code for: "Learning To Adapt For Stereo" accepted at CVPR2019

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

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

[NeurIPS'21] Unified tracking framework with a single appearance model. It supports Single Object Tracking (SOT), Video Object Segmentation (VOS), Multi-Object Tracking (MOT), Multi-Object Tracking and Segmentation (MOTS), Pose Tracking, Video Instance Segmentation (VIS), and class-agnostic MOT (e.g. TAO dataset).

Code for the paper "Evolved Policy Gradients"

My notes and assignment solutions for Stanford CS330 (Fall 2019 & 2020) Deep Multi-Task and Meta Learning

Official implementation of Meta-StyleSpeech and StyleSpeech

Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms

One-Shot Learning with Triplet CNNs in Pytorch

Code for meta-learning initializations for image segmentation

Code of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients

DropClass and DropAdapt - repository for the paper accepted to Speaker Odyssey 2020

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)

Anchor Diffusion for Unsupervised Video Object Segmentation

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

Official PyTorch implementation of "Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning" (ICCV2021 Oral)

Video Object Segmentation with Episodic Graph Memory Networks (ECCV2020 spotlight)

This is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising"(KDD2021).

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

Meta graph convolutional neural network-assisted resilient swarm communications

C++ Implementation of SiamMask

FSL-Mate: A collection of resources for few-shot learning (FSL).

Awesome Few-shot learning

This repository implements the paper, Model-Agnostic Meta-Leanring for Fast Adaptation of Deep Networks.

TensorFlow 2.0 implementation of MAML.

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

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

Personalizing Dialogue Agents via Meta-Learning

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

Pytorch implementation of CVPR2021 oral paper (best paper candidate), "Guided Interactive Video Object Segmentation Using Reliability-Based Attention Maps"

Tools for generating mini-ImageNet dataset and processing batches

Source code for CVPR 2020 paper "Scene-Adaptive Video Frame Interpolation via Meta-Learning"

Python Meta-Feature Extractor package.

Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020

Meta Self-learning for Multi-Source Domain Adaptation： A Benchmark

No description or website provided.

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