marcusliassides

marcusliassides's Stars

• xFFFFF/Gekko-Strategies

  Strategies to Gekko trading bot with backtests results and some useful tools.

  Language:JavaScript1.3k402

• QuantConnect/Lean

  Lean Algorithmic Trading Engine by QuantConnect (Python, C#)

  Language:C#9.7k3.2k

• wilsonfreitas/awesome-quant

  A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

  Language:Python17.8k2.6k

• pAulseperformance/awesome-pinescript

  A Comprehensive Collection of Everything Related to Tradingview Pine Script.

  1.1k119

• meraki-analytics/role-identification

  Language:Python2812

• Pupix/rift-explorer

  🛠 Explore the API of the League of Legends client

  Language:CSS55973

• simoncos/lola

  LoL (League of Legends) game data analysis / analytics

  Language:Python14038

• BroWooRo/LoL_AI_Engine

  Combining League of Legends and machine learning to create an engine for players

  Language:Jupyter Notebook21

• bushal01/league-ml2

  2nd pass at a League of Legends machine learning project

  Language:Jupyter Notebook21

• JonahFarc/League-Champion-Recommender

  Machine Learning Project to recommend League of Legends Champions for players.

  Language:Python4

• sjtu-cs222/Group_44

  Analysis and Prediction of League of Legends Based on Machine Learning

  Language:TeX1

• yl491/LeagueOfLegend_Prediction

  CEE 690 Final Project: Predict outcome of a league of legend match based on information available at different time benchmarks by using various machine learning algorithms

  Language:Jupyter Notebook2

• mvpeng/TeamCompML

  League of Legends + Machine Learning

  Language:TeX216

• JimmyyyW/ranked_win_predictor

  University project. Using a neural net to predict likelihood of winning upon entering game of league of legends

  Language:Python2

• jsil-12/LoL_game_prediction

  this project predicts winning teams from professional league of legends maps

  Language:Jupyter Notebook1

• rjmarzec/LoL-Match-Prediction-Nerual-Network

  A neural network designed to predict the outcomes of League of Legends matches before they even begin.

  Language:Python1

• M0kY/predict-gg

  Training a neural network classifier for predicting League of Legends games outcome

  Language:JavaScript1

• hl2638/ML_Midterm_2018

  League of Legends Real-Time Winning Rate Predictor

  Language:Jupyter Notebook31

• justAnotherMathmo/lol_prediction

  Collaborative project to create a number of test models for gambling in League of Legends

  Language:Python4

• bbrzycki/predictlol

  Python tools for predicting League of Legends game outcomes

  Language:Jupyter Notebook2

• zhecharleszhou/LolPredict

  LolPredict: Analytics and Game Predictions for League of Legends

  Language:HTML1

• novdov/lol-result-prediction

  Simple Prediction of Winning of League of Legends

  Language:Jupyter Notebook2

• Diego-Angulo/Predicting-Wins-in-League-of-Legends

  Logistic Regression, Decision Trees & Random Forests.

  Language:R1

• parthmishra/capstone

  Predicting Winners in League of Legends

  Language:Python1

• Newatimu/Game-Result-Prediction-of-League-of-Legends

  ECE-GY 6123: Introduction to Machine Learning Group Project

  Language:Jupyter Notebook1

• jow105/LEAGUE-OF-LEGENDS-MATCH-PREDICTION

  Using Riot Game’s API, extracted features from sample matches and, using Logistic Regression and Random Trees, analyzed which features have the greatest impact on match outcomes; further analyzed accuracy comparisons between models.

  Language:Jupyter Notebook1

• bananannn/League-of-Legends-Winner-prediction

  Language:Jupyter Notebook1

• KarmicDemon/League-of-Legends-Game-Predictor

  Predicts whether a game will result in a win or a loss depending on multiple factors using Deep Learning

  Language:Python5

• MatiasSanchezCabrera/LOL-Prediction

  Predicting the winner of a League of Legends Game at the 10-minute Mark

  Language:Jupyter Notebook185

• Kcrong/League-of-Fortuneteller

  Predicting League of Legend Game Results with ML :robot:

  Language:Python15