A collection of both optimization-based and relation-based meta-learning algorithms developed on TensorFlow.

This repository contains examples of fine-tuning Harmonized Landsat and Sentinel-2 (HLS) Prithvi foundation model.

The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.

a template for my python machine learning projects

This repository holds our announcement about future events

🤘 awesome-semantic-segmentation

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

A collection of AWESOME things about domian adaptation

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

an interactive, animated COVID-19 coronavirus map to track the outbreak over time by country and by region for selected countries

A curated list of awesome R packages, frameworks and software.

A curated list of awesome Machine Learning frameworks, libraries and software.

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

Interactive roadmaps, guides and other educational content to help developers grow in their careers.