tlyim Goto Github PK
Name: Tl Yim
Type: User
Bio: R user exploring Julia, Monte Carlo & Bayesian methods; constrained-optimizer; Pareto efficientist; working to empower accounting with computational statistics
Name: Tl Yim
Type: User
Bio: R user exploring Julia, Monte Carlo & Bayesian methods; constrained-optimizer; Pareto efficientist; working to empower accounting with computational statistics
This is the accompanying repository for "On LASSO for Predictive Regression".
Code downloaded from the website of Ville Rantala, an author of Kaustia and Rantala (2020, JFQA)
:exclamation: This is a read-only mirror of the CRAN R package repository. BalanceCheck — Balance Check for Multiple Covariates in Matched Observational Studies
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.
provide cik to cusip links using 13G and 13D filings
Event studies: robust and efficient estimation, testing, and plotting
Doc2Graph transforms documents into graphs and exploit a GNN to solve several tasks.
Inference for partially observed Markov chains
pinecone-io / examples
Search docs.voxel51.com with an LLM!
Data and Model implementation for paper: FinDKG: Dynamic Knowledge Graph with Large Language Models for Global Finance
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.
Time Series Forecasting Best Practices & Examples
:exclamation: This is a read-only mirror of the CRAN R package repository. gCat — Graph-based two-sample tests for categorical data
:exclamation: This is a read-only mirror of the CRAN R package repository. gSeg — Graph-Based Change-Point Detection (g-Segmentation)
Basic inference with Hidden Markov Models
PyTorch Implementation for "Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space (KDD2021)"
GitHub action to convert HTML to PDF
ICR - Automated and Intelligent Company Report Built in Python (by @firmai)
Learning materials for integrating Julia with R
PyTorch code for "Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions"
Learning materials for Stan
Simple example to showcase how to use llamaparser to parse PDF files
Mutually exciting point process graphs for modelling dynamic networks
midasml package is dedicated to run predictive high-dimensional mixed data sampling models
The code for network autoregression model (NAR)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.