ywb2018 Goto Github PK

acl_paper

主要和大家分享今年2019年的ACL paper

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

c-plus-plus

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

deep_learning

fast-rcnn

Fast R-CNN

focaltextclass

test

gnnpapers

Must-read papers on graph neural networks (GNN)

hopfield-layers

Hopfield Networks is All You Need

lmops

General technology for enabling AI capabilities w/ LLMs and MLLMs

machine_learning_project

new folder name,new start

mask-predict

A masked language modeling objective to train a model to predict any subset of the target words, conditioned on both the input text and a partially masked target translation.

nlp-materials-share

自然语言处理NLP（自然语言生成NLG、自然语言理解NLU）、自然语言学术会议大盘点、自然语言大佬介绍、NLP研究机构、NLP资料分享、NLP学习资源分享、NLP学术论文介绍

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

nlp_chinese_corpus

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

play-with-algorithms

Codes of my MOOC Course <Play with Algorithms>, Both in C++ and Java language. Updated contents and practices are also included. 我在慕课网上的课程《算法与数据结构》示例代码，包括C++和Java版本。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。

pointer

pplm

Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.

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！

sha-rnn

Single Headed Attention RNN - "Stop thinking with your head"

stopwords

中文常用停用词表（哈工大停用词表、百度停用词表等）

tensorboardx

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

tensorflow

An Open Source Machine Learning Framework for Everyone

tf-faster-rcnn

Tensorflow Faster RCNN for Object Detection

tg-reading-list

A text generation reading list maintained by Tsinghua Natural Language Processing Group.

torchprof

PyTorch layer-by-layer model profiler

transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习

visdom

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.