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algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

allennlp

An open-source NLP research library, built on PyTorch.

ape

Anomaly detection via Probabilistic pairwise interaction and Entity embedding

attention

some attention implements

awesome-chinese-nlp

A curated list of resources for Chinese NLP 中文自然语言处理相关资料

bilm-tf

Tensorflow implementation of contextualized word representations from bi-directional language models

chinese-names-corpus

中文人名语料库。中文姓名,姓氏,名字,称呼,日本人名,翻译人名,英文人名。

chinese-poetry

最全中华古诗词数据库, 唐宋两朝近一万四千古诗人, 接近5.5万首唐诗加26万宋诗. 两宋时期1564位词人，21050首词。

datafusionsimilaritybased

Matrix Decompose

dataintegateexp

CoTraining，TriTraining

deeppavlov

An open source library for deep learning end-to-end dialog systems and chatbots.

dnn-toy

emnlp2017-bilstm-cnn-crf

fasttext

Library for fast text representation and classification.

feature-mf

feature fusion by matrix factorize

finetune-transformer-lm

Code and model for the paper "Improving Language Understanding by Generative Pre-Training"

gan

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

ganhacks

starter from "How to Train a GAN?" at NIPS2016

ghm_detection

The implementation of “Gradient Harmonized Single-stage Detector” published on AAAI 2019.

glove

GloVe model for distributed word representation

google-research

Google AI Research

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

gpt2

GPT2

gpt2-ml

GPT2 for Multiple Languages, including pretrained models. GPT2 多语言支持, 15亿参数中文预训练模型

hello

hellogit

My first project on github

hosts

:statue_of_liberty:最新可用的google hosts文件。国内镜像：

iclr2016

Python code for training all models in the ICLR paper, "Towards Universal Paraphrastic Sentence Embeddings". These models achieve strong performance on semantic similarity tasks without any training or tuning on the training data for those tasks. They also can produce features that are at least as discriminative as skip-thought vectors for semantic similarity tasks at a minimum. Moreover, this code can achieve state-of-the-art results on entailment and sentiment tasks.

interview_python

关于Python的面试题

java-string-similarity

Implementation of various string similarity and distance algorithms: Levenshtein, Jaro-winkler, n-Gram, Q-Gram, Jaccard index, Longest Common Subsequence edit distance, cosine similarity ...