r2barati

alpha-zero-general

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

collector

⚖Open Source Toolkit for Conducting Quantitative Risk Assessment Interviews

Cord-19-QA

A Lightweight Q&A System on the CORD-19 Dataset for Efficient Information Retrieval on Mobile and Chromebook Devices

CrisisFACTS-utilities

Utilities for participating in the CrisisFACTS TREC track, including data collection and baselines

crisisfacts.github.io

CrisisFACTS Website

evaluator

⚖Open Source Toolkit for Quantitative Risk Assessment

Financial-Risk

General Codes, Templates, and other relevant Documents for Financial Risk Management

quantitative-risk-management

Practical, hands-on risk modeling, risk assessment and verifications of risk models across major risk classes and understanding risk regulation as well. Implementing risk models in Python, R and Excel.

Reinforcement-Learning-for-Risk

General Codes, Templates, and other relevant Documents for deploying RL for Risk Management

RM-Frameworks

Codes, Templates, and other relevant Documents for deploying Risk Management Frameworks in workplace

DeepCubeA

Code for DeepCubeA, a Deep Reinforcement Learning algorithm that can learn to solve the Rubik's cube.

edgar

Tool for the U.S. SEC EDGAR Retrieval and Parsing of Corporate Filings

grok-1

Grok open release

llama

Inference code for LLaMA models

maturity-models

Maturity models for IT, Agile, DevOps, TOGAF, Six Sigma, P3M3, etc.

MCTS-UCB-N-BEATS

Using MCTS UCB for Hyperparameter Tuning of N-BEATS

MSc-CS

muzero-general

MuZero

nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

pytorch-tsmixer

A pip-installable PyTorch implementation of TSMixer, providing an easy-to-use and efficient solution for time-series forecasting.

quantnewgrad2022

raven

RAVEN is a flexible and multi-purpose probabilistic risk analysis, validation and uncertainty quantification, parameter optimization, model reduction and data knowledge-discovering framework.

RM3

Risk Management Maturity Models

sec-edgar-downloader

📈 Download filings from the SEC EDGAR database using Python

TREC-DeepLearning-msmarco

website for MS Marco

TREC23-CrisisFACTS

The CrisisFACTS track focuses on temporal summarization for first responders in emergency situations. These summaries differ from traditional summarization in that they order information by time and produce a series of short updates instead of a longer narrative.

TREC23-DL

The Deep Learning track focuses on IR tasks where a large training set is available, allowing us to compare a variety of retrieval approaches including deep neural networks and strong non-neural approaches, to see what works best in a large-data regime.

tsfm

Foundation Models for Time Series

tsmixer-pytorch

TSMixer in PyTorch

Useful-AI-Corporate-Tools

Finding and making useful AI tools for Corporate Use