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ptan

PyTorch Agent Net: reinforcement learning toolkit for pytorch

pxworks

a community version of data processing automation platform

pxworks-mvp

a community version of data processing, analysis, and automation platform

pytorch-book

Code included in the book, PyTorch Pocket Reference

pytorchviz

A small package to create visualizations of PyTorch execution graphs

qsh2bin

Программа конвертации файлов формата qsh (QScalp) в формат bin или csv StockSharp

quantmod

Quantitative Financial Modelling Framework

quantstrat

adds a bit of code for debugging apply.paramset & some experimental features

quantstrat-1

r-data-store-public

public data used with R code

r-package-template

A template for R packages

rclr

R package for accessing .NET

rdotnet

.NET interop library to call the R statistical language in the same process

reinforcement-learning-robot-in-maze

Matlab/Octave implementation of Reinforcement learning (Q learning algorithm).

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

reinforcementlearning

This package performs model-free reinforcement learning in R.

rfintools

Various utility functions

rome

Rank-One Model Editing for Locating and Editing Factual Knowledge in GPT

rservecli2

A fork of RServeCLI

ru-gpts

Russian GPT3 models.

rvnn-and-cvnn

Real valued neural networks (RVNN) and complex valued neural networks (CVNN) (Akira Hirose, 2012).

sandbox

sdf

shell script based distributed processing framework

sentencepiece

Unsupervised text tokenizer for Neural Network-based text generation.

snake-ga

AI Agent that learns how to play Snake with Deep Q-Learning

spectralcf

strtsmrt

Stock price trend prediction with news sentiment analysis using deep learning

taoup

The Tao of Unix Programming (Ruby-powered ANSI colored fortunes)

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.