adapter-bert

att-induction

Attention-based Induction Networks for Few-Shot Text Classification

bert-pytorch

Google AI 2018 BERT pytorch implementation

bert4doc-classification

Code and source for paper ``How to Fine-Tune BERT for Text Classification?``

bertwithpretrained

An implementation of the BERT model and its related downstream tasks based on the PyTorch framework

boostlog

Boost Logging library

deep-loglizer

A deep learning toolkit for automated anomaly detection

deeplog

PyTorch implementation of Deeplog: Anomaly detection and diagnosis from system logs through deep learning

diversefewshot_amazon

few-shot-text-classification

Few-shot binary text classification with Induction Networks and Word2Vec weights initialization

fewshotlearning

Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"

leetcode-master

《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

log-preprocessing-tf

将异常检测任务使用的日志在tensorflow框架下进行预处理

logadempirical

Log-based Anomaly Detection with Deep Learning: How Far Are We? (ICSE 2022, Technical Track)

logclass

IEEE-TNSM 2021: Anomalous Log Identification and Classification with Partial Labels

logdeep

log anomaly detection toolkit including DeepLog

loglizer

A log analysis toolkit for automated anomaly detection [ISSRE'16]

logppt

Log Parsing with Prompt-based Few-shot Learning (ICSE 2023, Technical Track)

metadialog

Platform for few-shot natural language processing: Text Classification, Sequene Labeling.

mycommunity

nlp_ability

总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力

onlysixpence

sun0225SUN's profile with 187 stars and 219 forks 🎉

pretraining-yourself-bert-from-scratch

从头训练MASK BERT

pytorch-pretrained-bert_annotation

bert annotation, input and output for people from scratch, 代码注释, 有每一步的输入和输出, 适合初学者

pytorch_pretrained_bert

spdlog

Fast C++ logging library.

system_log_lstm_cnn

train and predict log message with deep learning methods

torch-light

Deep-learning by using Pytorch. Basic nns like Logistic, CNN, RNN, LSTM and some examples are implemented by complex model.

transformertranslation

A Transformer Framework Based Translation Task

weblogsanalysissystem

A big data platform for analyzing web access logs