Richieone13

Richieone13's Stars

• tensorflow/models

  Models and examples built with TensorFlow

  Language:Python77.2k2.7k7.6k45.8k

• scikit-learn/scikit-learn

  scikit-learn: machine learning in Python

  Language:Python60.3k2.1k11.3k25.4k

• aymericdamien/TensorFlow-Examples

  TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

  Language:Jupyter Notebook43.5k2k23514.9k

• datasciencescoop/Data-Science--Cheat-Sheet

  Cheat Sheets

  Language:TeX18.3k

• jordan-cutler/path-to-senior-engineer-handbook

  All the resources you need to get to Senior Engineer and beyond

  13.9k23781.3k

• nltk/nltk

  NLTK Source

  Language:Python13.7k4621.8k2.9k

• mmistakes/minimal-mistakes

  :triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.

  Language:HTML12.5k1121.3k25.7k

• aws/amazon-sagemaker-examples

  Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

  Language:Jupyter Notebook10.2k2661.4k6.8k

• yenchenlin/DeepLearningFlappyBird

  Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

  Language:Python6.7k285542k

• enochtangg/quick-SQL-cheatsheet

  A quick reminder of all SQL queries and examples on how to use them.

  4.9k11010720

• fchollet/ARC-AGI

  The Abstraction and Reasoning Corpus

  Language:JavaScript3.6k10370596

• elementary-data/elementary

  The dbt-native data observability solution for data & analytics engineers. Monitor your data pipelines in minutes. Available as self-hosted or cloud service with premium features.

  Language:HTML1.9k11586165

• llSourcell/YOLO_Object_Detection

  This is the code for "YOLO Object Detection" by Siraj Raval on Youtube

  Language:Python1.7k12533796

• andrewgbruce/statistics-for-data-scientists

  Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"

  Language:R1.1k10210653

• miketromba/highest-paying-software-companies

  The top 500 highest paying companies based on median software engineer total comp on levels.fyi as of 12/1/23.

  70818132

• llSourcell/Programming_Interview_Study_Plan

  This is the Programming Interview Study Plan by Siraj Raval on Youtube

  684231157

• NajiElKotob/Awesome-Power-BI

  Awesome Power BI

  502434158

• alteryx/predict-customer-churn

  A general-purpose framework for solving problems with machine learning applied to predicting customer churn

  Language:Jupyter Notebook4072210207

• jihoo-kim/Data-Science-for-COVID-19

  DS4C: Data Science for COVID-19 in South Korea

  Language:Jupyter Notebook18211959

• baumanab/udacity_ABTesting

  Project work for Udacity's AB Testing Course

  Language:Jupyter Notebook814028

• IBMDeveloperUK/Python-Geopandas-Workshop

  In this workshop you will learn about pandas and geopandas by exploring UK Crime Data in a Jupyter notebook

  Language:Jupyter Notebook589029

• Hugoberry/PowerQueryFunctional

  Power Query utility library with a functional twist

  468112

• isjeffcom/coronvirusFigureUK

  A data crawler for geting COVID-19 figure from NHS official website

  Language:JavaScript416611

• utisz/compound-cities

  Administrative boundary files in geoJSON format for cities with compound hierarchical sub-divisions. For example, New York and London have well defined boroughs, and Tokyo is a conglomerate of sub-cities and special wards (tokubetsu-ku).

  373046

• SuddenDevelopment/Visualizing-Streaming-Data

  examples for a book by the same name

  Language:HTML295019

• elleobrien/stylegan

  StyleGAN - Official TensorFlow Implementation

  Language:Python20204

• getredash/snap

  Microservice to take snapshots (images/PDF) of Redash visualizations and dashboards.

  Language:JavaScript1710011

• beginners-machine-learning-london/intro_to_Azure_ml_studio_and_services

  Materials for the workshop to be delivered at Microsoft Reactor 13/09/2019

  Language:Jupyter Notebook6106

• AakashChugh/Sentiment-Analysis-using-Python

  Language:Jupyter Notebook2004

• Richieone13/twitter-nltk-api

  This uses a Tweepy framework which scrapes the Twitter website for subject interested in, and applies a bag of words technique to remove words and present them in a Word Cloud.

  Language:Jupyter Notebook1200