tangxxiii

tangxxiii

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LLaMA-Factory

Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)

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wtpsplit

Toolkit to segment text into sentences or other semantic units in a robust, efficient and adaptable way.

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awesome-systematic-trading

A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.

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Chinese-LLaMA-Alpaca

中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)

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langchain

🦜🔗 Build context-aware reasoning applications

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layout-parser

A Unified Toolkit for Deep Learning Based Document Image Analysis

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ColossalAI

Making large AI models cheaper, faster and more accessible

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nlpcda

一键中文数据增强包 ; NLP数据增强、bert数据增强、EDA:pip install nlpcda

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pml-book

"Probabilistic Machine Learning" - a book series by Kevin Murphy

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awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

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PyMuPDF

PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.

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DAVAR-Lab-OCR

OCR toolbox from Davar-Lab

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CascadeTabNet

This repository contains the code and implementation details of the CascadeTabNet paper "CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents"

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awesome-text-summarization

A curated list of resources dedicated to text summarization

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opencv-python-tutorial

📖 OpenCV-Python image processing tutorial for beginners

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BERT-CH-NER

基于BERT的中文命名实体识别

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LeetCode

:monkey:LeetCode、剑指Offer刷题笔记(C/C++、Python3实现)

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CS-Notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

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ner

命名体识别(NER)综述-论文-模型-代码(BiLSTM-CRF/BERT-CRF)-竞赛资源总结-随时更新

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BERT-NER

Use Google's BERT for named entity recognition (CoNLL-2003 as the dataset).

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awesome-text-summarization

The guide to tackle with the Text Summarization

License:MITStargazers:1288Issues:0Issues:0

Pytorch-Lightning-Learning

Pytorch Lightning入门中文教程,转载请注明来源。(当初是写着玩的,建议看完MNIST这个例子再上手)

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bigbird

Transformers for Longer Sequences

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bert_seq2seq

pytorch实现 Bert 做seq2seq任务,使用unilm方案,现在也可以做自动摘要,文本分类,情感分析,NER,词性标注等任务,支持t5模型,支持GPT2进行文章续写。

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eat_pyspark_in_10_days

pyspark🍒🥭 is delicious,just eat it!😋😋

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Chinese-BERT-wwm

Pre-Training with Whole Word Masking for Chinese BERT(中文BERT-wwm系列模型)

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UER-py

Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo

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DeepLearning-500-questions

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。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06

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ML-NLP

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。

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