zhoroh

zhoroh's Stars

• ivy-llc/ivy

  Convert Machine Learning Code Between Frameworks

  Language:Python14k5.8k

• Nirvik07/FIFA_WORLD_CUP_2022

  FIFA WORLD CUP 2022

  Language:HTML817

• laisfrigerio/football-team-flags

  Flags from national teams made with css 🏳

  Language:HTML2518

• Ryo-N7/soccer_ggplots

  Soccer/football analytics blog posts & data viz from the World Cup, Premier League, Copa America, and beyond. Using ggplot2, ggsoccer, & more. (Est. June 2018) ****Please look at the README for best version of the code!****

  Language:R16625

• openfootball/worldcup.json

  Free open public domain football data for the world cups in JSON incl. Qatar 2022, Russia 2018 and more - No API key required ;-)

  17623

• acredjb/FBP

  FBP项目全称FootBallPrediction，历经9个月完成的足球比赛预测项目。项目结合大数据+机器学习，不断摸索开发了一个程序。

  417245

• ashishpatel26/ResourceBank_CV_NLP_MLOPS_2022

  This repository offers a goldmine of materials for students of computer vision, natural language processing, and machine learning operations.

  Language:Jupyter Notebook41392

• anebz/papers

  Curated repository of notes from papers I'm reading, mostly NLP related. Updated regularly.

  12828

• serengil/retinaface

  RetinaFace: Deep Face Detection Library for Python

  Language:Python1.2k152

• serengil/deepface

  A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

  Language:Python12k2k

• mrdbourke/airbnb-amenity-detection

  Repo for 42 days project to replicate/improve Airbnb's amenity (object) detection pipeline.

  Language:Jupyter Notebook16451

• elishatofunmi/Home-Domain-Igbo-to-yoruba-Translation

  This project contains a detailed chronological encoder to decoder model built using simple machine learning algorithms for English to Igbo languages (machine translation problem). It also contains other NLP based projects.

  Language:Jupyter Notebook31

• floodsung/Deep-Learning-Papers-Reading-Roadmap

  Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

  Language:Python38k7.3k

• phemmelliot/interviews

  Everything you need to know to get the job.

  Language:Java32