nvsclub

nvsclub's Stars

• mguti97/No-Bells-Just-Whistles

  Official implementation of paper - No Bells, Just Whistles: Sports Field Registration by Leveraging Geometric Properties

  Language:Python24

• google-research/football

  Check out the new game server:

  Language:Python3.3k1.3k

• xai-org/grok-1

  Grok open release

  Language:Python49.4k8.3k

• SoccerNet/sn-gamestate

  SoccerNet Game State Reconstruction: End-to-End Athlete Tracking and Identification on a Minimap (CVPR24 - CVSports workshop)

  Language:Python20835

• maybe-finance/maybe

  The OS for your personal finances

  Language:Ruby29.4k2.2k

• EchoStatements/Decompose

  Python library for computing bias-variance, ambiguity and bias-variance-diversity decompositions

  Language:Jupyter Notebook62

• lllyasviel/Fooocus

  Focus on prompting and generating

  Language:Python40k5.5k

• public-apis/public-apis

  A collective list of free APIs

  Language:Python312k33.3k

• ericsujw/KpSFR

  This is an official implementation of Sports Field Registration via Keypoints-aware Label Condition.

  Language:Python248

• PaddlePaddle/PaddleDetection

  Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

  Language:Python12.6k2.9k

• PaddlePaddle/PaddleSports

  Language:Python9418

• JunukCha/MultiPerson

  Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement

  Language:Python16711

• zju3dv/EasyMocap

  Make human motion capture easier.

  Language:Python3.6k442

• AIGC-Audio/AudioGPT

  AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head

  Language:Python10k855

• odoo/odoo

  Odoo. Open Source Apps To Grow Your Business.

  Language:Python37.3k24.2k

• facebookresearch/segment-anything

  The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook46.6k5.5k

• WassimTenachi/PhySO

  Physical Symbolic Optimization

  Language:Python1.8k248

• HenriqueRenda/FIFADashboardVisualization

  Language:Python26

• nebuly-ai/optimate

  A collection of libraries to optimise AI model performances

  Language:Python8.4k643

• probberechts/soccerdata

  ⛏⚽ Scrape soccer data from Club Elo, ESPN, FBref, FiveThirtyEight, Football-Data.co.uk, FotMob, Sofascore, SoFIFA, Understat and WhoScored.

  Language:Python572101

• anenglishgoat/Metrica-pitch-control

  A python implementation of the paper Wide Open Spaces: A statistical technique for measuring space creation in professional soccer

  Language:Jupyter Notebook215

• AtomScott/SportsLabKit

  A python package for turning sports video into csv files

  Language:Jupyter Notebook22318

• GregoryMorse/trendln

  Support and Resistance Trend lines Calculator for Financial Analysis

  Language:Python653162

• MattWear21/LearningFromThePros

  Learning From the Pros: Extracting Professional Goalkeeper Technique from Broadcast Footage

  Language:Jupyter Notebook142

• oseymour/ScraperFC

  Python package for scraping soccer data from a variety of sources

  Language:Jupyter Notebook23452

• cemunds/awesome-sports-camera-calibration

  A collection of resources on Sports Camera Calibration

  12115

• louisfb01/best_AI_papers_2021

  A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.

  2.9k238

• TDAmeritrade/stumpy

  STUMPY is a powerful and scalable Python library for modern time series analysis

  Language:Python3.6k318

• Peggy4444/soccer_RL

  Language:Python3