201 Open source projects that are alternatives of or similar to CDFSL-ATA

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

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

awesome few shot / meta learning papers

A collection of AWESOME things about domian adaptation

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

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

Awesome Few-shot learning

Code of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients

LibFewShot: A Comprehensive Library for Few-shot Learning.

Awesome Domain Adaptation Python Toolbox

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

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

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

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

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

Attending to Discriminative Certainty for Domain Adaptation

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

Implementation of 'Self-Adversarial Variational Autoencoder with Gaussian Anomaly Prior Distribution for Anomaly Detection'

Gym environments modified with adversarial agents

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

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

Implementation of "Disentangled Representation Learning for Non-Parallel Text Style Transfer(ACL 2019)" in Pytorch

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

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

Tensorflow Implementation of open set domain adaptation by backpropagation

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

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

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

Finetuning any DNN for better embedding on neural search tasks

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

Guiding Entity Alignment via Adversarial Knowledge Embedding

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

A novel method for few shot learning

Learning low-shot object classification with explicit shape bias learned from point clouds

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.

a deep recurrent model for exchangeable data

Code for ACL'2021 paper WARP 🌀 Word-level Adversarial ReProgramming. Outperforming `GPT-3` on SuperGLUE Few-Shot text classification. https://aclanthology.org/2021.acl-long.381/

Scaleable input gradient regularization

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

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

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

[CVPR 2020 VL3] The repository for meta fine-tuning in cross-domain few-shot learning.

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

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.

Code for IJCAI 2018 paper "Neural Networks Incorporating Unlabeled and Partially-labeled Data for Cross-domain Chinese Word Segmentation"

Two-stage GANs that generate fingerstyle guitarist images from audio.

🗣️ NALP is a library that covers Natural Adversarial Language Processing.

PyTorch reimplementation of the paper: "Semantic Pyramid for Image Generation" [CVPR 2020].

Python Meta-Feature Extractor package.

This repository contains a new adversarial training method for Generative Conversational Agents

Reimplementing cool papers in PyTorch...

A Cross-Domain Event Handler javascript library. Pure Vanilla JS, no dependencies.

Basic two way iframe communication

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

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

Code for meta-learning initializations for image 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.

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