sydneygr25

sydneygr25's Stars

• piemadd/Piero-Amtrak-API-Docs

  193

• csunlab/PAWU

  Language:Python1

• unitaryai/detoxify

  Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and 🤗 Transformers. For access to our API, please email us at contact@unitary.ai.

  Language:Python933114

• arcaldwell49/Superpower

  Simulation-Based Power Analysis

  Language:HTML6618

• anpatton/basic-nba-tutorials

  Tutorials for some common NBA stats questions in both python and R

  Language:Jupyter Notebook815

• mermaid-js/mermaid

  Generation of diagrams like flowcharts or sequence diagrams from text in a similar manner as markdown

  Language:JavaScript71.1k6.4k

• mjskay/tidybayes

  Bayesian analysis + tidy data + geoms (R package)

  Language:R72459

• box/box-python-sdk

  Box SDK for Python

  Language:Python418215

• PBarde/IBoat-PMCTS

  A Parallel Monte-Carlo Tree Search using multiprocessing and real weather forecasts to address long-term optimal path planning under uncertainty for autonomous sailboat

  Language:Python72

• Priya22/EmotionDynamics

  Repository for the LREC 2022 submission on Emotion Word Dynamics in Geolocated Tweet data.

  Language:Python7718

• eddwebster/football_analytics

  📊⚽ A collection of football analytics projects, data, and analysis by Edd Webster (@eddwebster), including a curated list of publicly available resources published by the football analytics community.

  Language:Jupyter Notebook1.9k267

• sanjitva/Predicting-Football-Player-Transfer-Values

  Flatiron School Capstone project. Trying to find out how well players' on-field performance metrics can be used to predict their transfer values.

  Language:Jupyter Notebook275

• microsoft/LightGBM

  A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

  Language:C++16.6k3.8k

• stanfordmlgroup/ngboost

  Natural Gradient Boosting for Probabilistic Prediction

  Language:Python1.6k215

• ewenme/transfers

  data on european football player transfers

  Language:Jupyter Notebook13691

• samshipengs/Coordinated-Multi-Agent-Imitation-Learning

  This is an implementation of the paper "Coordinated Multi Agent Imitation Learning", or the Sloan version "Data-Driven Ghosting using Deep Imitation Learning" using Tensorflow

  Language:Jupyter Notebook397

• jldbc/field-goal-models

  Modeling NFL Field Goal Probabilities in R

  Language:R81

• gregstoll/baseballstats

  Baseball win expectancy and expected runs per inning calculators

  Language:Rust324

• meysubb/cfbscrapR-archived

  CFB R Package

  Language:R259

• beanumber/openWAR

  An R package enabling the computation of openWAR using MLBAM data

  Language:R9933

• mattbierner/urban-dictionary-word-list

  Script and sample dataset of all urban dictionary entry names (around 1.4 million total)

  Language:Python8123

• rd11490/NBA-Play-By-Play-Example

  How to parse play by play

  Language:Python143

• danielfrg/espn-nba-scrapy

  NBA Data mining

  Language:Python7051

• statsbomb/open-data

  Free football data from StatsBomb

  2.4k768

• seemethere/nba_py

  Python client for NBA statistics located at stats.nba.com

  Language:Python1.1k255

• joeyism/nnnba

  Analysis of NBA player stats and salaries of the 2016-17 for the 17-18 season

  Language:Python94

• meganlott/play-by-play-scraper

  A web scraper to get college football play-by-play data

  Language:Python1

• meysubb/NCAAF_Scraper

  NCAA Football Scraper

  Language:Python62

• maksimhorowitz/nflscrapR

  R Package for Scraping and Aggregating NFL Data

  Language:R528138

• Degentleman/NFL-Results-Scraper

  Scrape NFL Results

  Language:Python161