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-nlp-pre_requisite

6.824

bert

TensorFlow code and pre-trained models for BERT

bert4keras

keras implement of transformers for humans

bilm-tf

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

comment-setimental-classification

The tutorial of autumn 2018 project II.

datasource

data source for lectures.

deep-learning-nd-exercises

Notes and coding exercises from the various lessons in Udacity's Deep Learning Nanodegree Foundation

ebooks

ethereumbook

Mastering Ethereum, by Andreas M. Antonopoulos, Gavin Wood

exercises-in-programming-style

Comprehensive collection of programming styles using a simple computational task, term frequency

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

im2latex

Image to LaTeX (Seq2seq + Attention with Beam Search) - Tensorflow

imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

imodels

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

insuranceqa-corpus-zh

OpenData in insurance area for Machine Learning Tasks

interviews

Everything you need to know to get the job.

jupyters_and_slides

keras-elmo

How to use ELMo embeddings in Keras with Tensorflow Hub

leetcode

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

lora

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

musictransformer-tensorflow2.0

implementation of music transformer with tensorflow-2.0 (ICLR2019)

ner-english

:computer: 英文命名实体识别(NER)的研究

nlp_study_tf2

pointer-generator

Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"

pytorch-biggraph

Generate embeddings from large-scale graph-structured data.

quest_qa_labeling

Google QUEST Q&A Labeling. Improving automated understanding of complex question answer content

references

shap

A game theoretic approach to explain the output of any machine learning model.

source-code-of-pragmatic-artificial-intelligence-algorithms-based-on-natrual-language-processing

The Source code of 'Pragmatic Artificial Intelligence Algorithms: Based on Natural Language Processing' by China Machine Press（人工智能算法与实践：基于自然语言处理/**机械工业出版社）