luukhopman

luukhopman's Stars

• google-research/bert

  TensorFlow code and pre-trained models for BERT

  Language:Python38.2k9981.1k9.6k

• rougier/scientific-visualization-book

  An open access book on scientific visualization using python and matplotlib

  Language:Python10.7k18943991

• hehonghui/the-economist-ebooks

  经济学人(含音频)、纽约客、自然、新科学人、卫报、科学美国人、连线、大西洋月刊、国家地理等英语杂志免费下载,支持epub、mobi、pdf格式, 每周更新.

  Language:CSS9.9k

• jeffheaton/t81_558_deep_learning

  T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

  Language:Jupyter Notebook5.7k3231253k

• plotly/dash-sample-apps

  Open-source demos hosted on Dash Gallery

  Language:Jupyter Notebook3.2k832063k

• unitedstates/congress-legislators

  Members of the United States Congress, 1789-Present, in YAML/JSON/CSV, as well as committees, presidents, and vice presidents.

  Language:Python2.1k161307507

• ProsusAI/finBERT

  Financial Sentiment Analysis with BERT

  Language:Jupyter Notebook1.4k3562418

• adeshpande3/LSTM-Sentiment-Analysis

  Sentiment Analysis with LSTMs in Tensorflow

  Language:Jupyter Notebook9805643431

• yya518/FinBERT

  A Pretrained BERT Model for Financial Communications. https://arxiv.org/abs/2006.08097

  Language:Jupyter Notebook5681729129

• blueprints-for-text-analytics-python/blueprints-text

  Jupyter notebooks for our O'Reilly book "Blueprints for Text Analysis Using Python"

  Language:Jupyter Notebook2501128141

• jaron/deep-listening

  Deep Learning experiments for audio classification

  Language:Jupyter Notebook1499441

• unitedstates/congressional-record

  A parser for the Congressional Record.

  Language:HTML129163442

• TiesdeKok/Python_NLP_Tutorial

  This repository provides everything to get started with Python for Text Mining / Natural Language Processing (NLP)

  Language:Jupyter Notebook1218165

• slychief/ismir2018_tutorial

  Language:Jupyter Notebook12013429

• znstrider/highlight_text

  functions to plot text with <highlighted substrings> in matplotlib.

  Language:Jupyter Notebook115248

• manusimidt/py-xbrl

  Python-based parser for parsing XBRL and iXBRL files

  Language:Python111117745

• imdevskp/covid_19_jhu_data_web_scrap_and_cleaning

  This repository contains data and code used to get and clean data from https://github.com/CSSEGISandData/COVID-19 and https://www.worldometers.info/coronavirus/

  Language:Jupyter Notebook9813492

• tomcaputo/mixtape_learnr

  Language:Jupyter Notebook804026

• Slothfulwave612/soccerplots

  A Python package for data visualisation for football analytics.

  Language:Python764214

• JakubPluta/gymhero

  Simple CRUD application built on top of FastAPI, SQLAlchemy, Alembic and Postgres

  Language:Python641018

• rflugum/10K-MDA-Section

  Extract the Management Discussion and Analyses (MD&A) section from 10K Financial Statements

  Language:Python633244

• eliasdabbas/dashboardom

  Portfolio of Dash Interactive Dashboards / Mini Apps

  Language:Python41419

• MathiasKraus/FinancialDeepLearning

  Decision support from financial disclosures with deep neural networks and transfer learning

  Language:Python39417

• chriskhanhtran/bert-for-sentiment-analysis

  332115

• alali3030/earnings_calls_NLP

  This repository includes our work on extracting the digital transformation strategy of Fortune 500 companies from earnings calls transcripts

  Language:Jupyter Notebook27119

• dayanfcosta/fiqa-2018-task1

  The sentiment analysis system which participate of FiQA 2018 Task 1 (https://sites.google.com/view/fiqa)

  Language:Python11003

• SpaceWolfWasTaken/httpy

  A barebones HTTP server created from raw python sockets.

  Language:Python5201

• luukhopman/measuring-financial-tone

  Public repository for my MSc Data Science and Society dissertation. Title: Financial Tone in Earnings Calls - An evaluation of FinBERT.

  Language:Jupyter Notebook3100

• eliasdabbas/baby_names

  Language:Python2301

• magicaltoast/reddit-attractiveness-dataset

  Language:Jupyter Notebook1100