adarshj

Deep-CFR

Scalable Implementation of Deep CFR and Single Deep CFR

go-explore

Code for Go-Explore: a New Approach for Hard-Exploration Problems

poker_ai

🤖 An Open Source Texas Hold'em AI

PokerRL

Framework for Multi-Agent Deep Reinforcement Learning in Poker

proactai

Our state-of-the-art machine learning models for CCTV cameras generate real-time alerts for events of interest, eliminating the need for constant monitoring.

proactai.github.io

Shoplifting-Detection

SL -Shoplifting detection Provides real-time alerts for the SMB market retailers, to monitor and report customer behavior when shoplifting incidents occur. 3D Convolutional Neural Network in Keras and AWS Sagemaker for model training and evaluation.

sinib

:exclamation: This is a read-only mirror of the CRAN R package repository. sinib — Sum of Independent Non-Identical Binomial Random Variables

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

tutorials

A series of machine learning tutorials for Torch7