zzzzkzz's Stars
facebookresearch/nougat
Implementation of Nougat Neural Optical Understanding for Academic Documents
Unstructured-IO/unstructured
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
liguodongiot/llm-action
本项目旨在分享大模型相关技术原理以及实战经验。
patil-suraj/question_generation
Neural question generation using transformers
ashwin0099/automatic-question-genrator-from-given-text
This is a challenging era thanks to the expansion within the field of technology and also the demand we face today. Hence examinations play an important role in testing students’ performance. which is why it's important to possess a wise development question model for the expansion of scholars additionally on test their learning skills thereby keeping a check on student performance. Now the normal method of generating question paper has been manual. during this method, certain officials sketch the question paper. But this method is ineffective sometimes as a result of bias, repetition, and security concerns. we've got proposed an automatic process of Question Paper Generation that's fast, streamlined, randomized, and secure. Every task performed by this technique is automated so space for storing, bias, and security don't seem to be a concern anymore. Our goal is to create an automated system that can take as input a text and produce as output questions for assessing a reader’s knowledge of the information in the text. The questions could then be presented to a teacher, who could select and revise the ones that he or she judges to be useful. Various NLP libraries such as Spacy, NLTK are used for tokenization, stemming, lemmatization, punctuation. Part of Speech tagging is one of the most significant parts of natural language processing which helps us to find the proper tag for given text. Using these NLP libraries the proposed system performs effectively utilizing paragraphs of text as input. Furthermore, we've proposed a brand-new algorithm that ensures total randomization of questions and avoids repetitions. The proposed system may be helpful to several educational institutes and NGO-based institutes.
openstax/research-question-generation-gpt3
lmlearning/LLMMultiChoiceCreator
This repo contains files for a project aiming to use LLMs to generate multiple choice questions based on arbitrary content.
fbellame/pdf-to-quizz
Upload a PDF and generate a quizz
YuRuiii/2023-NJUAI-open-day-review
A brief review of 2023 NJUAI open day test & interview
songyouwei/ABSA-PyTorch
Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析,使用PyTorch实现。
xjtu-blacksmith/easymcm
A simple LaTeX package for Mathematical Contest in Modeling (MCM)
NELSONZHAO/zhihu
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.
Embedding/Chinese-Word-Vectors
100+ Chinese Word Vectors 上百种预训练中文词向量
thunlp/OpenCLaP
Open Chinese Language Pre-trained Model Zoo
cjlin1/libsvm
LIBSVM -- A Library for Support Vector Machines
mbelmadani/moead-py
A Python implementation of the decomposition based multi-objective evolutionary algorithm (MOEA/D)
anyoptimization/pymoo
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
leiurayer/downkyi
哔哩下载姬downkyi,哔哩哔哩网站视频下载工具,支持批量下载,支持8K、HDR、杜比视界,提供工具箱(音视频提取、去水印等)。
jaungiers/LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
yangwohenmai/LSTM
基于LSTM的时间序列预测研究
Aymdi/DeadReckoning
pedestrian dead reckoning using phone sensors
Zidane-Han/Pedestrian-Dead-Reckoning
PDR using step detection on smartphone
jindongwang/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
NLP-LOVE/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。
datawhalechina/fun-rec
推荐系统入门教程,在线阅读地址:https://datawhalechina.github.io/fun-rec/
Snailclimb/JavaGuide
「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试,首选 JavaGuide!
CodePanda66/CSPostgraduate-408
💯 CSPostgraduate 计算机考研 408 专业课资料及真题资源
zhm-real/PathPlanning
Common used path planning algorithms with animations.
exacity/deeplearningbook-chinese
Deep Learning Book Chinese Translation
OrangeX4/NJUAI-Notes
我在南京大学人工智能专业学习时所做的笔记 :-)