hsqmlzno1

2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记，此外，还包括创建者看到的所有机器学习/深度学习面经中的问题。除了其中 DL/ML 相关的，其他与算法岗相关的计算机知识也会记录。但是不会包括如前端/测试/JAVA/Android等岗位中有关的问题。

Language:Python2079 37 3

pet

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

Language:PythonApache-2.01610 47 96

CloserLookFewShot

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

Language:PythonNOASSERTION1121 19 74

neural-processes

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

Language:Jupyter NotebookApache-2.0936 42 9

writing-code-for-nlp-research-emnlp2018

A companion repository for the "Writing code for NLP Research" Tutorial at EMNLP 2018

Language:PythonApache-2.0554 28 1

few-shot-ssl-public

Meta Learning for Semi-Supervised Few-Shot Classification

Language:PythonNOASSERTION547 17 21

CrossDomainFewShot

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

Language:Python321 8 42

multifit

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

Language:Jupyter NotebookMIT282 17 59

Distributional-Signatures

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

Language:PythonMIT253 7 35

cdfsl-benchmark

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

Language:PythonApache-2.0218 14 45

MAML-TensorFlow

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

Language:Python196 10 9

DAPN

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

Language:Python136 2 10

MetaLearning-TF2.0

Meta learning framework with Tensorflow 2.0

Language:PythonApache-2.0120 8 7

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.

Language:Jupyter NotebookApache-2.0106 27 4

AliCoCo

Alibaba E-commerce Cognitive Concept Net

97 11 3

ProtoNER

Few-shot classification in Named Entity Recognition Task

Language:Python78 6 1

MLMAN

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

Language:Python60 2 6

TextCNN

TextCNN by TensorFlow 2.0.0 ( tf.keras mainly ).

Language:PythonGPL-3.058 1 2

Prototype-Propagation-Net

IJCAI 2019 : Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph

Language:Python55 6 2

tafe-net

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

Language:PythonApache-2.053 11 6

maml-rl-tf2

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

Language:PythonMIT24 3 3

few-shot-text

Few shot text classification with Prototypical networks

Language:Python2300

HCN-PrototypeLoss-PyTorch

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

Language:PythonMIT23 2 1