2303 Open source projects that are alternatives of or similar to Adam_qas

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

Association Rule Mining from Spatial Data for Crime Analysis

Archlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision

All the slides, accompanying code and exercises all stored in this repo. 🎈

🦆 Contextually-keyed word vectors

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General Assembly's 2015 Data Science course in Washington, DC

Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep learning and deep transfer learning to learn and solve popular tasks using NLP including NER, Classification, Recommendation \ Information Retrieval, Summarization, Classification, Language Translation, Q&A and T…

A wine recommender system tutorial using Python technologies such as Django, Pandas, or Scikit-learn, and others such as Bootstrap.

Code to reproduce results in our ACL 2018 paper "Did the Model Understand the Question?"

⛔ [NOT MAINTAINED] A web-based annotator for closed-domain question answering datasets with SQuAD format.

A list of recent papers about Graph Neural Network methods applied in NLP areas.

⛔ [NOT MAINTAINED] An End-To-End Closed Domain Question Answering System.

Self-contained Machine Learning and Natural Language Processing library in Go

基于自然语言理解与机器学习的聊天机器人，支持多用户并发及自定义多轮对话

NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego

Русскоязычный чатбот

🔍 Haystack is an open source NLP framework that leverages Transformer models. It enables developers to implement production-ready neural search, question answering, semantic document search and summarization for a wide range of applications.

A Span-Extraction Dataset for Chinese Machine Reading Comprehension (CMRC 2018)

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

Machine reading comprehension on clinical case reports

Jack the Reader

DrFAQ is a plug-and-play question answering NLP chatbot that can be generally applied to any organisation's text corpora.

Machine Learning for Spot Prices

datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries

Conversational text Analysis using various NLP techniques

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

Paper reading list in natural language processing, including dialogue systems and text generation related topics.

🍊 📊 💡 Orange: Interactive data analysis

A collection of research on knowledge graphs

🚁 保险行业语料库，聊天机器人

Conversational AI Reading Materials

💥 displaCy.js: An open-source NLP visualiser for the modern web

PyTorch implementations of various deep learning models for paraphrase detection, semantic similarity, and textual entailment

Knowledge Base Question Answering using memory networks

Dynamic Coattention Network Plus (DCN+) TensorFlow implementation. Question answering using Deep NLP.

Bert-base NLP pipeline for Turkish, Ner, Sentiment Analysis, Question Answering etc.

Important paper implementations for Question Answering using PyTorch

Medical Question Answering Dataset of 47,457 QA pairs created from 12 NIH websites

A tool for learning vector representations of words and entities from Wikipedia

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

Zeek Analysis Tools (ZAT): Processing and analysis of Zeek network data with Pandas, scikit-learn, Kafka and Spark

A collection of ML related stuff including notebooks, codes and a curated list of various useful resources such as books and softwares. Almost everything mentioned here is free (as speech not free food) or open-source.

도서 "[개정판] 파이썬 라이브러리를 활용한 머신 러닝"의 주피터 노트북과 코드입니다.

Tools that make working with scikit-learn and pandas easier.

A jupyter notebook having all most frequent used code snippet for daily data scienceoperations

My dataquest project solutions

Algorithmic trading using machine learning.

This is the final project for the Udacity Machine Learning Nanodegree: Predicting article retweets and likes based on the title using Machine Learning

A text analysis application for performing common NLP tasks through a web dashboard interface and an API

Predicting Profitable Day Trading Positions using Decision Tree Classifiers. scikit-learn | Flask | SQLite3 | pandas | MLflow | Heroku | Streamlit

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Data Science with Python

Use AI to generate a optimized stock portfolio

chatbot_ner: Named Entity Recognition for chatbots.

SciKIt-learn Pipeline in PAndas

An unsupervised analysis combining topic modeling and clustering to preserve an individuals work history and credentials while tailoring their resume towards a new career field

🏥 Medical Text Mining and Information Extraction with spaCy

A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn