104 Open source projects that are alternatives of or similar to Mt Net

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

Official implementation of Meta-StyleSpeech and StyleSpeech

Personalizing Dialogue Agents via Meta-Learning

Code for meta-learning initializations for image segmentation

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

Meta graph convolutional neural network-assisted resilient swarm communications

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

Collection for Few-shot Learning

Code of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients

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

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

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

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

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

[CVPR'17] Training a Correlation Filter end-to-end allows lightweight networks of 2 layers (600 kB) to high performance at fast speed..

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

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

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.

PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)

One-Shot Learning with Triplet CNNs in Pytorch

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

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 and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)

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

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

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

Awesome Few-shot learning

This repo provides pytorch code which replicates the results of the Matching Networks for One Shot Learning paper on the Omniglot and MiniImageNet dataset

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.

Automated Machine Learning with scikit-learn

Meta-DETR: Official PyTorch Implementation

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

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

Hierarchical Co-occurrence Network with Prototype Loss for Few-shot Learning (PyTorch)

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

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

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

A dataset of datasets for learning to learn from few examples

Python Meta-Feature Extractor package.

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

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

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

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

No description or website provided.

Collection of Reinforcement Learning / Meta Reinforcement Learning Environments.

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

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

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"

Repository for few-shot learning machine learning projects

Code for FOCAL Paper Published at ICLR 2021

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

awesome few shot / meta learning papers

Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)

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

Meta-Feature Extractor

A resource list for causality in statistics, data science and physics

A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

Awesome Multitask Learning Resources

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