transferlearning
FSL-Mate
transferlearning | FSL-Mate | |
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1 | 1 | |
12,867 | 1,645 | |
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7.8 | 4.8 | |
9 days ago | about 2 months ago | |
Python | Python | |
MIT License | MIT License |
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transferlearning
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[D] Medium Article: Adaptive Learning for Time Series Forecasting
The src is available in https://github.com/jindongwang/transferlearning I'll also publish about how to code the model for time series
FSL-Mate
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Anyone knows a good online material to understand and implement few shot learning?
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?
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+