Popular GitHub Repositories for Texas Instruments

Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

? An Open Source Texas Hold'em AI

Texas holdem OpenAi gym poker environment with reinforcement learning based on keras-rl. Includes virtual rendering and montecarlo for equity calculation.

Tooling to build LLM applications: prompt templating and composition, agents, LLM memory, and other instruments for builders of AI applications.

:black_joker: OpenAI Gym No Limit Texas Hold 'em Environment for Reinforcement Learning

Play, learn, solve, and analyze No-Limit Texas Hold Em. Implementation follows from Monte Carlo counter-factual regret minimization over with hierarchical K-means imperfect recall abstractions.

[SOTA] [92% acc] 786M-8k-44L-32H multi-instrumental music transformer with true full MIDI instruments range, efficient encoding, octo-velocity and outro tokens

PyTorch code to separate instruments from music using a low-latency neural network

AI algorithm that plays Texas hold 'em poker (part of university research in imperfect information games)

MasterAI is an AI poker dedicated to suport n-play (single- or multi-agent) Texas Hold'em imperfect-informatin games.

In this repo, I trained various models to detect potential money laundering in residential real estate in Bexar County, Texas.

Decision-tree classifier for Texas Hold'em outcome prediction in Erlang

A diffusion model trained to generate musical pieces using the MIDI format. It introduces a pitch encoding based on frequencies, a multi-instruments-oriented model and a lightweight music-adapted version of the U-Net.

TI MSP432 programmed using embedded C to control an autonoumous 1/18-scale car to navigate a randomized track. Final project for RIT CMPE-460 IDE.

Automatic annotation of timbre variation for monophonic musical instruments

Harmony Calculator for Piano and String Instruments

Using a GAN to synthesize the sounds of instruments, initially only clarinet

A combination of reinforcement and evolutionary learning are used in an attempt to allow autonomous vehicles to learn behaviors necessary for the navigation of an intersection in a simple 2D traffic simulator. The open source AIM4 simulator developed by the Learning Agents Research Group at The University of Texas was extended to implement a special agent architecture and hybrid learning method in this multi-agent system approach to machine learning.

Complete 37 Forex Instruments Pretrained ResNet Transfer Learning for Price Movement Classification (Keras-Tensorflow)

A sample of my work with knowledge bases from CS 4365 (Artificial Intelligence) at the University of Texas at Dallas.