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A list of (post-hoc) XAI for time series
PyTorch implementation of TimeVAE, a variational auto-encoder for multivariate time series generation
Official Implementation of Time Series Generation with Masked Autoencoder (ExtraMAE)
pytorch implementation of Optimization as a Model for Few-shot Learning
Quantization-aware training research for ResMLP model.
Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
A fast implementation of MAML (Finn et al. 2017) in Tensorflow 2
The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"
A PyTorch Library for Meta-learning Research
Multi-modal meta-learning for time series regression
Open-Source Software, Tutorials, and Research on Data-Centric AI 🤖
🕳 bore is a simple CLI tool for making tunnels to localhost
List of ngrok/Cloudflare Tunnel alternatives and other tunneling software and services. Focus on self-hosting.
FSL-Mate: A collection of resources for few-shot learning (FSL).
code for the paper "Few-Shot Regression via Learning Sparsifying Basis Functions
Implementation of the Model Agnostic Meta Learning paper in Tensorflow for Omniglot and Few Shot Regression
Reference source code for "Regression Networks for Meta-Learning Few-Shot Classification".
Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch
LibFewShot: A Comprehensive Library for Few-shot Learning. TPAMI 2023.
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
Repository for few-shot learning machine learning projects
Example Expo app showing how to handle ZIP files
Autonomous driving - car detection using the very powerful YOLO model