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awesome-deeplearning-500faq

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。声明：所有内容来自（仅供学习）：https://github.com/scutan90/DeepLearning-500-questions

awesome-time-series

Resources for working with time series and sequence data

cnlabelattn

Data for Chinese EE with label attention

emnlp2017-bilstm-cnn-crf

event-centric-opinion-mining

globalpointer_pytorch

hmm

First commit

jahmm

An implementation of Hidden Markov Models in Java

large-margin-structured-perceptron

Implementation of a large margin structured perceptron, including instances for sequence labeling, quotation extraction and dependency parsing.

logire

Learning Logic Rules for Document-Level Relation Extraction

memorybot

A chatbot 🤖 which remembers 🧠 using 🦜 LangChain 🔗 OpenAI | Streamlit | DataButton

mlxtend

A library of extension and helper modules for Python's data analysis and machine learning libraries.

models

Models built with TensorFlow

nest-trans-em18

Code for "A Neural Transition-based Model for Nested Mention Recognition"

nvim-config

My custom Neovim configuration with full battery for Python, Markdown, LaTeX and more...

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

resij

senteval

A python tool for evaluating the quality of sentence embeddings.

spacy

💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython

text

Data loaders and abstractions for text and NLP

the-design-and-implementation-of-a-64-bit-os

《一个64位操作系统的设计与实现》读书笔记&随书源码

transformers

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

transitionevent

vscode_conf

vscode configuration file

whu-thesis

:memo: 武汉大学毕业论文 LaTeX 模版 2019