436 Open source projects that are alternatives of or similar to AILA-Artificial-Intelligence-for-Legal-Assistance

📚 social networks from novels

机器学习、深度学习、自然语言处理

RMDL: Random Multimodel Deep Learning for Classification

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

A keyphrase extractor for Persian

High performance tokenizers for natural language processing and other related tasks

Topic Modelling for Humans

Repository for R package MetQy (read related publication here: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6247936/)

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Heart Disease prediction using 5 algorithms

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A curated list of awesome papers related to pre-trained models for information retrieval (a.k.a., pretraining for IR).

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Apache Solr open-source search software

Code and resources for the paper "BERT-QE: Contextualized Query Expansion for Document Re-ranking".

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Code repo for SIGIR 2021 paper "Few-Shot Conversational Dense Retrieval"

Experimenting with a newly published deep learning paper and how it can be used for content-based 3D model retrieval. (info retrieval for CAD)

Fact Extraction and VERification baseline published in NAACL2018

Easy association rule mining and classification on the web

Python scripts to extract tweets and facebook posts from public users.

Kali Intelligence Suite (KIS) shall aid in the fast, autonomous, central, and comprehensive collection of intelligence by executing standard penetration testing tools. The collected data is internally stored in a structured manner to allow the fast identification and visualisation of the collected information.

Open Price Comparison for US Hospitals

Class-imbalanced / Long-tailed ensemble learning in Python. Modular, flexible, and extensible. | 模块化、灵活、易扩展的类别不平衡/长尾机器学习库

Korpuslinguistik war noch nie so einfach...

Exploring data and analyzing metrics for user-specific Medium Stats

Functional data science

Python Implementation of Decay Replay Mining (DREAM)

基于scikit-learn实现对新浪新闻的文本分类，数据集为100w篇文档，总计10类，测试集与训练集1:1划分。分类算法采用SVM和Bayes，其中Bayes作为baseline。

Data Exploration with Apache Drill

LexGLUE: A Benchmark Dataset for Legal Language Understanding in English

💹 SIMON is powerful, flexible, open-source and easy to use machine learning knowledge discovery platform 💻

A simple tutorial of Lucene for LIS 501 Introduction to Text Mining students at the University of Wisconsin-Madison (Fall 2021).

This is official Pytorch code and datasets of the paper "Where Are the Facts? Searching for Fact-checked Information to Alleviate the Spread of Fake News", EMNLP 2020.

No description or website provided.

Grabs all of the audio files from all of the Blinkist books

sciblox - Easier Data Science and Machine Learning

자연어 처리와 텍스트 분석을 위한 오픈소스 파이썬 라이브러리 입니다.

A Python implementation of divisive and hierarchical clustering algorithms. The algorithms were tested on the Human Gene DNA Sequence dataset and dendrograms were plotted.

PatZilla is a modular patent information research platform and data integration toolkit with a modern user interface and access to multiple data sources.

Content Based Image Retrieval Techniques (e.g. knn, svm using MatLab GUI)

2018-腾讯广告算法大赛-相似人群拓展(初赛)：10th/1563 (Top 0.64%)

📚「@MaiweiAI」Studying papers in the fields of computer vision, NLP, and machine learning algorithms every week.

Progressively Pretrained Dense Corpus Index for Open-Domain QA and Information Retrieval

25,100 queries from the Paralex corpus (Fader et al., 2013) annotated with human ratings of whether they are well-formed natural language questions.

Implementation of the Apriori and Eclat algorithms, two of the best-known basic algorithms for mining frequent item sets in a set of transactions, implementation in Python.

Powerful unsupervised domain adaptation method for dense retrieval. Requires only unlabeled corpus and yields massive improvement: "GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval" https://arxiv.org/abs/2112.07577

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Monoidal data processes.

This repo consists of the projects that I completed as a part of the Udacity's Data Analyst Nanodegree's curriculum.

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A Python package for hubness analysis and high-dimensional data mining

Accord Project Documentation

A super-fast and scalable Random Forest library based on fast histogram decision tree algorithm and distributed bagging framework. It can be used for binary classification, multi-label classification, and regression tasks. This library provides both Python and command line interface to users.

No description or website provided.

⚡ A fast embedded library for approximate nearest neighbor search

Financial Domain Question Answering with pre-trained BERT Language Model