148 Open source projects that are alternatives of or similar to Matchingnetworks

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

Golang identification and matching of system fonts

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

Audio Synchronization and Analysis Tool

A PEG Parsing Tool

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

gome- Golang Match Engine, uses Golang for calculations, gRPC for services, ProtoBuf for data exchange, RabbitMQ for queues, and Redis for cache implementation of high-performance matching engine microservices/ gome-高性能撮合引擎微服务

No description or website provided.

One-Shot Learning with Triplet CNNs in Pytorch

[ICCV17] DeepCD: Learning Deep Complementary Descriptors for Patch Representations

Welcome to Snowman App – a Data Matching Benchmark Platform.

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

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

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

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

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

A Reason implementation of the blossom maximum-matching algorithm

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

Meta graph convolutional neural network-assisted resilient swarm communications

[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.

Code of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients

Educational application written in Kotlin aimed at automating user-defined workflows for the mobile game, "Granblue Fantasy", using MediaProjection, AccessibilityService, and OpenCV.

🥾 A type-safe pattern builder & route matching library written in TypeScript

Meta-DETR: Official PyTorch Implementation

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

Code for FOCAL Paper Published at ICLR 2021

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

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

🎚️ Simple Matchering 2.0 Command Line Application

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

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

Speedy Net, Speedy Match and Speedy Composer

MODS with external deep descriptors/detectors

Flexible Algorithms for Image Registration

A Node implementation of the Aho-Corasick string matching algorithm based on DoubleArray Trie.

Python Meta-Feature Extractor package.

Personalizing Dialogue Agents via Meta-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.

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

This repository implements skeleton matching algorithm.

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

Official implementation of Meta-StyleSpeech and StyleSpeech

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

🎚️ Self-Hosted LANDR / eMastered Alternative

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

Collection of Reinforcement Learning / Meta Reinforcement Learning Environments.

Convert directories to glob compatible strings

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

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

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)

Code for meta-learning initializations for image segmentation

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

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

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

Implementation of "Make One-Shot Video Object Segmentation Efficient Again” and the semi-supervised fine-tuning "e-OSVOS" approach (NeurIPS 2020).

Parse placeholder and wildcard text commands

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

ELMO在QA问答，文本分类等NLP上面的应用

fuzzy string matching in R