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kdd_cup_2020_debiasing_rush

Solution to the Debiasing Track of KDD CUP 2020

kddcup_2020_multimodalitiesrecall_2nd_place

keras-bert

Implementation of BERT that could load official pre-trained models for feature extraction and prediction

kkndme_tianya

天涯 kkndme 神贴聊房价

leetcode_hot_100

本repo主要记录了leetcode上的Hot100题， 采用C++实现。

lxmert

PyTorch code for EMNLP 2019 paper "LXMERT: Learning Cross-Modality Encoder Representations from Transformers".

machine_learning_code

《统计学习方法》与常见机器学习模型(GBDT/XGBoost/lightGBM/FM/FFM)的原理讲解与python和类库实现

matchpapers

Worth-reading papers and related awesome resources on matching task. 值得一读的匹配任务相关论文与资源集合

matchsum

Code for ACL 2020 paper: "Extractive Summarization as Text Matching"

mrc-for-flat-nested-ner

Code for ACL 2020 paper `A Unified MRC Framework for Named Entity Recognition`

mrc_competition_dureader

中文机器阅读理解 冠军/亚军代码及预训练的MRC模型

multilingual-transformers

Our source code for EACL2021 workshop: Offensive Language Identification in Dravidian Languages. We ranked 4th, 4th and 3rd in Tamil, Malayalam and Kannada language of this task finally!🥳

multimodal-transformers

Our source code for EACL2021 workshop: Meme Classification for Tamil Language. We took first place in this task finally!🥳

multiturnresponseselection

This repo contains our ACL 2017 paper data and source code

named_entity_recognition

中文命名实体识别（包括多种模型：HMM，CRF，BiLSTM，BiLSTM+CRF的具体实现）

ner

命名实体识别实践与探索

neural-attentive-session-based-recommendation-pytorch

A PyTorch implementation of Neural Attentive Session Based Recommendation (NARM)

nl2sql

阿里天池首届中文NL2SQL挑战赛top6

nlp-basictasks

A simple framework for building some basic NLP tasks

nlp_programs

本repo使用tensorflow2实现NLP中常见的模型：文本相似度分析、文本摘要、文本生成、机器翻译......（持续更新中）

paperread

record papers in ever read which are about mutimodal models.

pku_thesis_docx

docx版本的北京大学毕业论文模板

pkuthss

LaTeX template for dissertations in Peking University

publications

NOTHING, JUST HOPE TO GET MORE AND MORE PAPERS.

python_deep_learning_introduction

《深度学习入门——基于Python的理论与实现》

pytorch-distributed

A quickstart and benchmark for pytorch distributed training.

pytorch-grad-norm

Pytorch implementation of the GradNorm. GradNorm addresses the problem of balancing multiple losses for multi-task learning by learning adjustable weight coefficients.

pytorch-gradual-warmup-lr

Gradually-Warmup Learning Rate Scheduler for PyTorch

pytorch-optimizer

torch-optimizer -- collection of optimizers for Pytorch

pytorchdocs

PyTorch 官方中文教程包含 60 分钟快速入门教程，强化教程，计算机视觉，自然语言处理，生成对抗网络，强化学习。欢迎 Star，Fork！