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attention

some attention implements

awesome-meta-learning

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

bert

TensorFlow code and pre-trained models for BERT

bert-race

closerlookfewshot

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

cnn-text-classification-pytorch

CNNs for Sentence Classification in PyTorch

commonsenseqa

Author implementation of the paper "CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge"

data-structure-and-algorithm

Data Structure And Algorithm（常用数据结构与算法C/C++实现）

datastructure

数据结构

deeplearning

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

e-snli

esim

Implementation of the ESIM model for natural language inference with PyTorch

few-shot-meta-baseline

A New Meta-Baseline for Few-Shot Learning

gnnpapers

Must-read papers on graph neural networks (GNN)

hands-on-meta-learning-with-python

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

hanlp

自然语言处理 中文分词 词性标注 命名实体识别 依存句法分析 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁

natural-language-processing

自然语言处理

ncrfpp

NCRF++, an Open-source Neural Sequence Labeling Toolkit. It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components. (code for COLING/ACL 2018 paper)

numpy-ml

Machine learning, in numpy

ohmyzsh

🙃 A delightful community-driven (with 1700+ contributors) framework for managing your zsh configuration. Includes 200+ optional plugins (rails, git, OSX, hub, capistrano, brew, ant, php, python, etc), over 140 themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.

prml

PRML algorithms implemented in Python

pytorch_word2vec

Use pytorch to implement word2vec

reasoning-from-memory

Proof of concept application in which a user can enter facts using natural language and later ask questions that the system can use first-order logic inference to reason about.

sentence-transformers

Sentence Embeddings with BERT & XLNet

seqmatchseq

table-fact-checking

Data and Code for ICLR2020 Paper "TabFact: A Large-scale Dataset for Table-based Fact Verification"

tdgan

code for TabFact-checking

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.