r2barati Goto Github PK
Name: Reza Barati
Type: User
Name: Reza Barati
Type: User
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
βOpen Source Toolkit for Conducting Quantitative Risk Assessment Interviews
A Lightweight Q&A System on the CORD-19 Dataset for Efficient Information Retrieval on Mobile and Chromebook Devices
Utilities for participating in the CrisisFACTS TREC track, including data collection and baselines
CrisisFACTS Website
Code for DeepCubeA, a Deep Reinforcement Learning algorithm that can learn to solve the Rubik's cube.
Tool for the U.S. SEC EDGAR Retrieval and Parsing of Corporate Filings
βOpen Source Toolkit for Quantitative Risk Assessment
General Codes, Templates, and other relevant Documents for Financial Risk Management
Grok open release
Inference code for LLaMA models
Maturity models for IT, Agile, DevOps, TOGAF, Six Sigma, P3M3, etc.
Using MCTS UCB for Hyperparameter Tuning of N-BEATS
MuZero
The simplest, fastest repository for training/finetuning medium-sized GPTs.
A pip-installable PyTorch implementation of TSMixer, providing an easy-to-use and efficient solution for time-series forecasting.
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.
RAVEN is a flexible and multi-purpose probabilistic risk analysis, validation and uncertainty quantification, parameter optimization, model reduction and data knowledge-discovering framework.
General Codes, Templates, and other relevant Documents for deploying RL for Risk Management
Codes, Templates, and other relevant Documents for deploying Risk Management Frameworks in workplace
Risk Management Maturity Models
π Download filings from the SEC EDGAR database using Python
website for MS Marco
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.
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.
Foundation Models for Time Series
TSMixer in PyTorch
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π 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. πππ
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 β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.