JaredStrober's Stars
tarb/betfair_data
Fast Python Betfair historical data file parser
paulcbogdan/NFL-play-by-player
This code simulates NFL games in a play-by-play fashion
naivelogic/NFL-smarter-football
A set of analytics and machine learning models with the goal of bring intelligence to the NFL.
clausherther/nfl-dbt
This repo contains dbt models to transform NFL Play-by-Play (pbp) data sourced from https://github.com/nflverse/nflverse-data into analytical models
nflverse/nflverse-pbp
builds play by play and player stats for nflverse/nflverse-data
maksimhorowitz/nflscrapR
R Package for Scraping and Aggregating NFL Data
lanl/ThunderBoltz
Direct simulation Monte Carlo ThunderBoltz C++ and Python API codes.
joonspk-research/generative_agents
Generative Agents: Interactive Simulacra of Human Behavior
Significant-Gravitas/AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
rafael-fuente/N-body-numerical-simulation
Script written in Python to integrate the equations of motion of N particles interacting with each other gravitationally. The script computes the equations of motion and use scipy.integrate to integrate them. Then it uses matplotlib to visualize the solution.
kirklong/ThreeBodyBot
Poorly written code that generates moderately exciting plots of a very specific physics phenomenon that enthralls dozens of us around the globe.
zaman13/Three-Body-Problem-Gravitational-System
A python code to calculate planetary orbits in a three-body gravitational system. The code can demonstrate how one planet affects the orbit of another planet. As an example, Earth, Jupiter, Sun system is analyzed.
banluong/stock-prediction-rnn-web-app
Project to predict stock prices with Recurrent Neural Network in TensorFlow with client input as web application (with Flask).
bernardcheng/tos_options_dashboard
Interactive dashboard to filter and analyse stock options contracts (Built using data from ThinkOrSwim's API and Plotly Dash components)
EZXInc/ezx-sample-py
EZX iServer API for Python - Sample Application
zzyBen/tulane_RL_pacman_project
yiz569/Stock-Trading-Gym-Reinforcement-Learning
AI4Finance-Foundation/FinRL
FinRL: Financial Reinforcement Learning. 🔥
parksurk/dmarl-sc2
Deep Multi-Agent Reinforcement Learning with StarCraft 2
VT-Collab/overcooked
collab's version of the overcooked gym environment
gunsodo/simplycooked
A simplified version of OverCooked reconstructed for RL training
bic4907/Overcooked-AI
Offline Multi-Agent Reinforcement Learning Implementations: Solving Overcooked Game with Data-Driven Method
luisnmartins/feup-tne-powertac
Agent to compete in PowerTAC 2019
vedic-partap/Event-Driven-Stock-Prediction-using-Deep-Learning
A deep learning method for event driven stock market prediction. Deep learning is useful for event-driven stock price movement prediction by proposing a novel neural tensor network for learning event embedding, and using a deep convolutional neural network to model the combined influence of long-term events and short-term events on stock price movements
arseniyturin/Capstone-Project
Predicting stock market movement with EDA and Keras
agonyforge/arbitrader
A market neutral cryptocurrency trading bot.