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gpt-3

GPT-3: Language Models are Few-Shot Learners

pet

This repository contains the code for "Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference"

CloserLookFewShot

source code to ICLR'19, 'A Closer Look at Few-shot Classification'

neural-processes

This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).

tuixue.online-visa

https://tuixue.online/visa/ A Real-time Display of U.S. Visa Appointment Status Website 预约美帝签证各个签证处最早时间的爬虫

few-shot-ssl-public

Meta Learning for Semi-Supervised Few-Shot Classification

tensor2robot

Distributed machine learning infrastructure for large-scale robotics research

CrossDomainFewShot

Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)

few_shot_gaze

Pytorch implementation and demo of FAZE: Few-Shot Adaptive Gaze Estimation (ICCV 2019, oral)

multifit

The code to reproduce results from paper "MultiFiT: Efficient Multi-lingual Language Model Fine-tuning" https://arxiv.org/abs/1909.04761

Distributional-Signatures

"Few-shot Text Classification with Distributional Signatures" ICLR 2020

cdfsl-benchmark

(ECCV 2020) Cross-Domain Few-Shot Learning Benchmarking System

MAML-TensorFlow

Faster and elegant TensorFlow Implementation of paper: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

moco.tensorflow

A TensorFlow re-implementation of Momentum Contrast (MoCo): https://arxiv.org/abs/1911.05722

DAPN

A pytorch implementation of "Domain-Adaptive Few-Shot Learning"

MetaLearning-TF2.0

Meta learning framework with Tensorflow 2.0

TADAM

The implementation of https://papers.nips.cc/paper/7352-tadam-task-dependent-adaptive-metric-for-improved-few-shot-learning . TADAM is a ServiceNow Research project that was started at Element AI.

meta-learning-bert

Meta learning with BERT as a learner

l2b

Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)

AliCoCo

Alibaba E-commerce Cognitive Concept Net

ProtoNER

Few-shot classification in Named Entity Recognition Task

MLMAN

ACL 2019 paper:Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification

TextCNN

TextCNN by TensorFlow 2.0.0 ( tf.keras mainly ).

tafe-net

Code for TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning (CVPR 2019)

pyMeta

Library to manage machine learning problems as `Tasks' and to sample from Task distributions. Includes Tensorflow implementation of implicit-MAML (iMAML), FOMAML and Reptile.

maml-rl-tf2

Implementation of Model-Agnostic Meta-Learning (MAML) applied on Reinforcement Learning problems in TensorFlow 2.

HCN-PrototypeLoss-PyTorch

Hierarchical Co-occurrence Network with Prototype Loss for Few-shot Learning (PyTorch)

few-shot-text

Few shot text classification with Prototypical networks

MAML-Pytorch-Multi-GPUs

pytorch maml with Multi-GPUs, fast and simplest implementation

MetaNLP