A collection of AWESOME things about domian adaptation

A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

A curated list of papers, code and resources pertaining to zero shot learning

汇聚【Python应用】【Python实训】【Python技术分享】等等

Pytorch implementation of Generative Adversarial Text-to-Image Synthesis paper

Rethinking Knowledge Graph Propagation for Zero-Shot Learning, in CVPR 2019

PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Zero-Shot Learning part)

Pytorch implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)

PyTorch codebase for zero-shot dialog generation SIGDIAL 2018, It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU

Zero-shot image tagging by hierarchical semantic embedding

PyTorch implementation of the paper "Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based Image Retrieval", CVPR 2019.

NLU: domain-intent-slot; text2SQL

Cross-domain NER using cross-domain language modeling, code for ACL 2019 paper

One-Shot Learning using Nearest-Neighbor Search (NNS) and Locality-Sensitive Hashing LSH

[ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance

General-Purpose Neural Networks for Sentence Boundary Detection

Zero-Shot Knowledge Distillation in Deep Networks in ICML2019

Implementation of Zero-Shot Learning algorithm using Word2Vecs as class embeddings

Code for the paper "Learning to Compose Topic-Aware Mixture of Experts for Zero-Shot Video Captioning"

Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition

Source code of the paper 'Integrating Semantic Knowledge to Tackle Zero-shot Text Classification. NAACL-HLT 2019. '

Awesome papers in few-shot learning/one-shot learning.

Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling

Zero-shot Invariant and Efficient Visual Search

Dialogue Knowledge Transfer Networks (DiKTNet)

Zero Shot Detection Dataset

零样本学习

PyTorch implementation for "Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference" (https://arxiv.org/abs/1809.01357).

A python ZSL system which makes it easy to run Zero-Shot Learning on new datasets, by giving it features and attributes. Used for the paper "Zero-Shot Learning Based Approach For Medieval Word Recognition Using Deep-Learned Features", published in ICFHR2018.