transferlearning VS FSL-Mate

Compare transferlearning vs FSL-Mate and see what are their differences.

transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习 (by jindongwang)
transferlearning domain-adaptation transfer-learning Survey Deep Learning generalization few-shot tutorial-code Theory Papers few-shot-learning meta-learning domain-generalization representation-learning unsupervised-learning Machine Learning self-supervised-learning Paper style-transfer domain-adaption
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transferlearning.xyz
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FSL-Mate

FSL-Mate: A collection of resources for few-shot learning (FSL). (by tata1661)
few-shot-learning one-shot-learning meta-learning low-shot Deep Learning Papers few-shot-paper few-shot-papers Paper Paddlepaddle few-shot
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transferlearning FSL-Mate
1 1
12,867 1,645
- -
7.8 4.8
9 days ago about 2 months ago
Python Python
MIT License MIT License
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transferlearning

Posts with mentions or reviews of transferlearning. We have used some of these posts to build our list of alternatives and similar projects.

FSL-Mate

Posts with mentions or reviews of FSL-Mate. We have used some of these posts to build our list of alternatives and similar projects.
  • Anyone knows a good online material to understand and implement few shot learning?
    1 project | /r/deeplearning | 6 Jan 2021
    In regards to understanding, I'm not entirely sure which part you need help with. A few shots learning simply means that instead of a lot of data per class (e.g. 1k+), you only have a few (e.g 8). You can take any ML algorithm that works and just train it with less examples to make it a few shot learning algorithm. Not all will work well, but it will still be a few shot learning algorithm. Try starting with a survey rather than a specific paper. Maybe this, or this

What are some alternatives?

When comparing transferlearning and FSL-Mate you can also consider the following projects:

zshot - Zero and Few shot named entity & relationships recognition

stackoverflow-better-stats - Better statistics about Stack Overflow's 2023 Developer Survey

deep-kernel-transfer - Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)

PaddleHelix - Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集

learn2learn - A PyTorch Library for Meta-learning Research

awesome-artificial-intelligence-research - A curated list of Artificial Intelligence (AI) Research, tracks the cutting edge trending of AI research, including recommender systems, computer vision, machine learning, etc.

DeepKE - [EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction

TS-TCC - [IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"

Papers-in-100-Lines-of-Code - Implementation of papers in 100 lines of code.

Transfer-Learning-Library - Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

PaddleViT - :robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+

transferlearning vs zshot FSL-Mate vs zshot transferlearning vs stackoverflow-better-stats FSL-Mate vs deep-kernel-transfer transferlearning vs PaddleHelix FSL-Mate vs learn2learn transferlearning vs awesome-artificial-intelligence-research FSL-Mate vs DeepKE transferlearning vs TS-TCC FSL-Mate vs Papers-in-100-Lines-of-Code transferlearning vs Transfer-Learning-Library FSL-Mate vs PaddleViT