128 Open source projects that are alternatives of or similar to resilient-swarm-communications-with-meta-graph-convolutional-networks

Python Meta-Feature Extractor package.

One-Shot Learning with Triplet CNNs in Pytorch

Code and data belonging to our CSCW 2018 paper: "Endorsements on Social Media: An Empirical Study of Affiliate Marketing Disclosures on YouTube and Pinterest".

Implementation of feature engineering from Feature engineering strategies for credit card fraud

Code for FOCAL Paper Published at ICLR 2021

My PhD Papers and Presentations

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.

Research papers on ML for security

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

A program for controlling a micro-UAV for obstacle detection and collision avoidance using disparity mapping

A place to keep track of all the annotated papers.

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

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

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

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

Privacy -preserving Neural Networks

Code for meta-learning initializations for image segmentation

Official implementation of Meta-StyleSpeech and StyleSpeech

No description or website provided.

Code for the paper: Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors, ICLR 2019.

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

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

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

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

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

(WWW 2021) Source code of PC-GNN

Awesome Few-shot learning

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

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

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

Computer Graphics vs Real Photographic Images : A Deep-learning approach

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.

Listing my favorite research papers 📝 from different fields as I read them.

Personalizing Dialogue Agents via Meta-Learning

Sioyek is a PDF viewer designed for reading research papers and technical books.

Summary of machine learning papers

This is a PyTorch implementation of the the Paper by Simo-Sera et.al. on Cleaning Rough Sketches using Fully Convolutional Neural Networks.

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

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

Meta-DETR: Official PyTorch Implementation

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

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

Collection of Reinforcement Learning / Meta Reinforcement Learning Environments.

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

Code of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients

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

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)

A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.

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

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

Reference management solution using Python and Notion.

My bachelor's thesis—analyzing the application of LSTM-based RNNs on financial markets. 🤓

awesome few shot / meta learning papers

A keras implementation of [Neural Arithmetic Logic Units](https://arxiv.org/pdf/1808.00508.pdf) by Andrew et. al.

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

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

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

A LaTeX template to write response letters for journal revisions

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

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