bonsoirlt Goto Github PK

followers: 8.0 following: 46.0 repos: 31.0 gists: 0.0

Name: LT

Type: User

Bio: Accounting AP at SWUFE. Earned my PhD from Baruch College. In the parallel universe, I must be a full-time coder

Location: Everywhere all at once

LT's Projects

10k-mda-section

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

block_codes

This depository uses SEC EDGAR data in Schedule 13D and Schedule 13G data to find all positions above 5% in all US stocks between 1994 and 2018.

capiq-python

Thin Python client for the CapIQ REST API

citeproc-lua

A Lua implementation of the Citation Style Language (CSL)

data71200sp20

DATA 71200 Advanced Data Analysis Methods

easy-scraping-tutorial

Simple but useful Python web scraping tutorial code.

edgar

Securities and Exchange Commission (SEC) EDGAR database which contains regulatory filings from publicly-traded US corporations.

etlffiec

system for extracting call reports from the Federal Financial Institutions Examination Council

extract10k

Extracting text from the 10-K filings on SEC's EDGAR

fdic-call-reports

Tools for analysis and review of FDIC call report data

financial-machine-learning

A curated list of practical financial machine learning (FinML) tools and applications in Python.

fry9c

R package for interacting with the Federal Reserve Consolidated Financial Statements for Holding Companies (FR Y-9c)

fundholdings

Python web crawler to pull fund holdings from the SEC EDGAR database

getting-started-with-the-twitter-api-v2-for-academic-research

A course on getting started with the Twitter API v2 for academic research

green_bonds

The changing value of the "green" label on the US municipal bond market

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hmda-tools

Tools to make importing and analyzing mortgage application data easier. This is a public domain work of the US Government.

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

Documents, papers and codes related to NLP, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0.