104 Open source projects that are alternatives of or similar to Feat

Personalizing Dialogue Agents via Meta-Learning

No description or website provided.

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

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

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

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

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

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

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

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

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

Code for meta-learning initializations for image segmentation

Meta-DETR: Official PyTorch Implementation

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

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

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

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

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

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

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

Python Meta-Feature Extractor package.

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.

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

Official implementation of Meta-StyleSpeech and StyleSpeech

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

One-Shot Learning with Triplet CNNs in Pytorch

Collection of Reinforcement Learning / Meta Reinforcement Learning Environments.

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"

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)

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

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

Code for FOCAL Paper Published at ICLR 2021

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

awesome few shot / meta learning papers

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

Awesome Few-shot learning

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

TensorFlow 2.0 implementation of MAML.

LibFewShot: A Comprehensive Library for Few-shot Learning.

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

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

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