mjclm

mjclm's Stars

• camelot-dev/camelot

  A Python library to extract tabular data from PDFs

  Language:Python3k474

• ranaroussi/yfinance

  Download market data from Yahoo! Finance's API

  Language:Python15k2.5k

• shaikhsajid1111/twitter-scraper-selenium

  Python's package to scrap Twitter's front-end easily

  Language:Python32350

• NajiElKotob/Awesome-Power-BI

  Awesome Power BI

  500158

• jivoi/awesome-osint

  :scream: A curated list of amazingly awesome OSINT

  19.2k2.8k

• ML-KULeuven/socceraction

  Convert soccer event stream data to SPADL and value player actions using VAEP or xT

  Language:Python623139

• devinpleuler/analytics-handbook

  Getting started with soccer analytics

  Language:Jupyter Notebook1.5k207

• mtdvio/every-programmer-should-know

  A collection of (mostly) technical things every software developer should know about

  85.1k7.9k

• keon/algorithms

  Minimal examples of data structures and algorithms in Python

  Language:Python24.1k4.6k

• trekhleb/homemade-machine-learning

  🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

  Language:Jupyter Notebook23.2k4.1k

• GarethRichards/Machine-Learning-CPP

  Code from Michael Nielsen book Neural Networks and Deep Learning ported to C++.

  Language:C++13024

• manjunath5496/DevOps-Books

  "DevOps has helped us do very frequent releases, giving us an edge on time to market. We are now able to make daily product releases as opposed to 6-month releases, and push fixes to our customers in a span of a few hours." ― Hamesh Chawla

  216189

• hurshd0/must-read-papers-for-ml

  Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer

  1k143

• public-apis/public-apis

  A collective list of free APIs

  Language:Python319k34k

• keredson/wordninja

  Probabilistically split concatenated words using NLP based on English Wikipedia unigram frequencies.

  Language:Python829109

• MaxBenChrist/awesome_time_series_in_python

  This curated list contains python packages for time series analysis

  2.1k367

• awesomedata/awesome-public-datasets

  A topic-centric list of HQ open datasets.

  61.2k9.9k

• matiasmascioto/awesome-soccer-analytics

  :soccer::chart_with_upwards_trend: A curated list of awesome resources related to Soccer Analytics.

  52469

• Friends-of-Tracking-Data-FoTD/mapping-match-events-in-Python

  Luca Pappalardos code for working with and plotting Wyscout data

  Language:Jupyter Notebook12336

• rodmoioliveira/football-graphs

  Graphs and passing networks in football.

  Language:HTML11316

• TheAlgorithms/Python

  All Algorithms implemented in Python

  Language:Python195k45.8k

• junhwanjang/whoscored

  Football player rating analysis and position recommendation

  Language:Jupyter Notebook3815

• vitalysim/Awesome-Hacking-Resources

  A collection of hacking / penetration testing resources to make you better!

  15.4k2.1k

• justmarkham/scikit-learn-tips

  :robot::zap: 50 scikit-learn tips

  Language:Jupyter Notebook1.7k433

• sarasafavi/remote-sensing-with-python

  Language:Jupyter Notebook12783

• PacktPublishing/Hands-On-Data-Science-for-Marketing

  Hands-On Data Science for Marketing, published by Packt

  Language:Jupyter Notebook235164

• Lightning-AI/pytorch-lightning

  Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

  Language:Python28.5k3.4k

• alvarobartt/twitter-stock-recommendation

  Simple Stock Investment Recommendation System based on Machine-Learning algorithms for prediction and Twitter Sentiment Analysis.

  Language:Python12343

• google-research/vision_transformer

  Language:Jupyter Notebook10.6k1.3k

• angus924/rocket

  ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels

  Language:Python42357