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alasso_predictive_regression

This is the accompanying repository for "On LASSO for Predictive Regression".

analyst-basedpeers

Code downloaded from the website of Ville Rantala, an author of Kaustia and Rantala (2020, JFQA)

balancecheck

:exclamation: This is a read-only mirror of the CRAN R package repository. BalanceCheck — Balance Check for Multiple Covariates in Matched Observational Studies

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.

chat-langchain

cik-cusip-mapping

provide cik to cusip links using 13G and 13D filings

did_imputation

Event studies: robust and efficient estimation, testing, and plotting

doc2graph

Doc2Graph transforms documents into graphs and exploit a GNN to solve several tasks.

dynamicdiscretemodels.jl

Inference for partially observed Markov chains

examples

pinecone-io / examples

fiftyone-docs-search

Search docs.voxel51.com with an LLM!

findkg

Data and Model implementation for paper: FinDKG: Dynamic Knowledge Graph with Large Language Models for Global Finance

finsight

FinSight - Financial Insights at Your Fingertip: FinSight is a cutting-edge AI assistant tailored for portfolio managers, investors, and finance enthusiasts. It streamlines the process of gaining crucial insights and summaries about a company in a user-friendly manner.

forecasting

Time Series Forecasting Best Practices & Examples

fully-local-pdf-chatbot

gcat

:exclamation: This is a read-only mirror of the CRAN R package repository. gCat — Graph-based two-sample tests for categorical data

gseg

:exclamation: This is a read-only mirror of the CRAN R package repository. gSeg — Graph-Based Change-Point Detection (g-Segmentation)

hiddenmarkovmodels.jl

Basic inference with Hidden Markov Models

htgn

PyTorch Implementation for "Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space (KDD2021)"

html2pdf

GitHub action to convert HTML to PDF

interactive-corporate-report

ICR - Automated and Intelligent Company Report Built in Python (by @firmai)

julia_r

Learning materials for integrating Julia with R

juliabox_sync

ldg

PyTorch code for "Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions"

learn_stan

Learning materials for Stan

llamaparser-example

Simple example to showcase how to use llamaparser to parse PDF files

meg

Mutually exciting point process graphs for modelling dynamic networks

midasml

midasml package is dedicated to run predictive high-dimensional mixed data sampling models

mltraining

nar

The code for network autoregression model (NAR)