FewShotLearning
by gitabcworld
Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"
AI summary
Few-shot learning model
An implementation of the Optimization as a Model for Few-Shot Learning paper in PyTorch
- stars
- 255
- forks
- 58
- watching
- 7
Similar projects
Found by comparing what the projects do, not just their names.
Few-shot learning model
An implementation of the Learning to Compare paper in PyTorch
Few-shot learning framework
An implementation of Federated Few-shot Learning using Python and the PyTorch framework.
Few-shot learning tool
A framework for efficient few-shot learning with Sentence Transformers
Few-shot learner
This repository provides code for a few-shot transfer learning approach to personalized and federated image classification
Few-shot learner
A Python-based few-shot learning framework for medical applications utilizing a visual language model.
Prototypical Network Model
An implementation of Prototypical Networks for Few Shot Learning in PyTorch
Meta learning library
Provides tools and datasets for meta-learning and few-shot learning in deep learning
PyTorch tutorials
A collection of tutorials and lessons on building deep learning models using the PyTorch library.
Question Answering Experiment
An empirical study on using GPT-3 for multimodal question answering tasks with few-shot learning.
Deep learning toolkit
A Python framework for building deep learning models with optimized encoding layers and batch normalization.
Reinforcement Learning Environment
Enables training of reinforcement learning models with PyTorch on Godot Engine using shared memory
Computer Vision Toolkit
A PyTorch toolbox for supporting research and development of domain adaptation, generalization, and semi-supervised learning methods in computer vision.
PyTorch Tutorial
A comprehensive tutorial on building and training PyTorch models using Python
Language Model
Trains a large-scale PyTorch language model on the 1-Billion Word dataset
multi-agent learning protocol
This project implements a PyTorch-based framework for learning discrete communication protocols in multi-agent reinforcement learning environments.