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abagail icon abagail

The library contains a number of interconnected Java packages that implement machine learning and artificial intelligence algorithms. These are artificial intelligence algorithms implemented for the kind of people that like to implement algorithms themselves.

analytics-modeling icon analytics-modeling

ISYE 6501 Analytics Modeling: This course introduced fundamental models used in analytics, cross-cutting concepts, combining models, and software.

awesome-cs-books icon awesome-cs-books

:books: Awesome CS Books/Series(.pdf by git lfs) Warehouse for Geeks, ProgrammingLanguage, SoftwareEngineering, Web, AI, ServerSideApplication, Infrastructure, FE etc. :dizzy: 优秀计算机科学与技术领域相关的书籍归档

gtx_6501 icon gtx_6501

Introduction to Analytics Modeling - Georgia Tech OMDS

ml_trading_assess_learners icon ml_trading_assess_learners

machine learning trading algorithms: implement and compare decision tree learner, a random tree learner, and a bootstrap aggregating learner

omscs-advisor icon omscs-advisor

A webapp which suggests course schedules for students in the OMSCS program

reinforcement-learning icon reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

slam icon slam

Python files for SLAM course by Claus Brenner

solving_openai icon solving_openai

Here I try to solve all the openai environments as I continue my journey into the Reinforcement Learning World. I would be updating the environments one by one as I solve them.

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