162 Open source projects that are alternatives of or similar to MeTAL

Awesome Few-shot learning

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

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

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

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

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

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

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

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

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

TensorFlow 2.0 implementation of MAML.

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

awesome few shot / meta learning papers

Code of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients

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

Code for meta-learning initializations for image segmentation

LibFewShot: A Comprehensive Library for Few-shot Learning.

Personalizing Dialogue Agents via Meta-Learning

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)

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

ICML'2022: Black-Box Tuning for Language-Model-as-a-Service

Meta-DETR: Official PyTorch Implementation

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

a deep recurrent model for exchangeable data

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

Code for "Unsupervised Adaptation for Deep Stereo" - ICCV17

Pytorch implementation of Feature Generation for Long-Tail Classification by Rahul Vigneswaran, Marc T Law, Vineeth N Balasubramaniam and Makarand Tapaswi

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

C++ implementation of the nonrigid descriptor Geobit presented at ICCV 2019 "GEOBIT: A Geodesic-Based Binary Descriptor Invariant to Non-Rigid Deformations for RGB-D Images"

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

A curated list of papers, code and resources pertaining to weak-shot classification, detection, and segmentation.

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.

Python Meta-Feature Extractor package.

Codes for ACL-IJCNLP 2021 Paper "Zero-shot Fact Verification by Claim Generation"

Guided Image-to-Image Translation Papers

얼굴 인식에 대한 기술 동향 및 관련 모델 자료

Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot anomaly detection

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

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

A non-official 100% PyTorch implementation of META-DATASET benchmark for few-shot classification

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

Tools for building raster processing and display services

[ICCV'19] Calibration Wizard: A Guidance System for Camera Calibration Based on Modelling Geometric and Corner Uncertainty

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks

A curated list of papers, code and resources pertaining to few-shot image generation.

Official implementation of Meta-StyleSpeech and StyleSpeech

Code and data of ACL 2021 paper "Few-NERD: A Few-shot Named Entity Recognition Dataset"

Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning

This paper is accepted by ICCV 2021.

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

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.

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

ACL 2019 paper:Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification

One-Shot Learning with Triplet CNNs in Pytorch

Matching Networks for one-shot learning in tensorflow (NIPS'16)

Collection of Reinforcement Learning / Meta Reinforcement Learning Environments.

Laplacian Regularized Few Shot Learning

Official implementation of "Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis", ICCV 2021

PyTorch implementation of the paper: Vector Projection Network for Few-shot Slot Tagging in Natural Language Understanding. Su Zhu, Ruisheng Cao, Lu Chen and Kai Yu.

[ICCV'21] Official PyTorch implementation of Relational Embedding for Few-Shot Classification