iAyon

iAyon's Stars

• microsoft/ML-For-Beginners

  12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

  Language:HTML69.8k1k13614.5k

• jakevdp/PythonDataScienceHandbook

  Python Data Science Handbook: full text in Jupyter Notebooks

  Language:Jupyter Notebook43.2k1.8k19317.9k

• mlabonne/llm-course

  Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

  Language:Jupyter Notebook39k408684.1k

• eugeneyan/applied-ml

  📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

  27.3k948243.7k

• spipm/Depix

  Recovers passwords from pixelized screenshots

  Language:Python26k39603.2k

• SJTU-IPADS/PowerInfer

  High-speed Large Language Model Serving on PCs with Consumer-grade GPUs

  Language:C++8k78168412

• dibgerge/ml-coursera-python-assignments

  Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

  Language:Jupyter Notebook5.5k169762.2k

• priyankavergadia/GCPSketchnote

  If you are looking to become a Google Cloud Engineer , then you are at the right place. GCPSketchnote is series where I share Google Cloud concepts in quick and easy to learn format.

  4.8k32911802

• apple/ml-mgie

  Language:Python3.9k620251

• ethen8181/machine-learning

  :earth_americas: machine learning tutorials (mainly in Python3)

  Language:HTML3.2k1326650

• nborwankar/LearnDataScience

  Open Content for self-directed learning in data science

  Language:Jupyter Notebook3k36911.7k

• microsoft/torchgeo

  TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

  Language:Python2.8k51442343

• jayinai/data-science-question-answer

  A repo for data science related questions and answers

  Language:Jupyter Notebook2.4k871658

• iamtodor/data-science-interview-questions-and-answers

  Data science interview questions with answers. Not ideally (yet)

  1.6k362352

• Sroy20/machine-learning-interview-questions

  This repository is to prepare for Machine Learning interviews.

  1.5k831392

• benthecoder/yt-channels-DS-AI-ML-CS

  A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.

  1.3k344139

• OmkarPathak/Python-Programs

  My collection of Python Programs

  Language:Python1k548588

• stasi009/TakeHomeDataChallenges

  My solution to the book <A collection of Data Science Take-home Challenges>

  Language:Jupyter Notebook978293522

• VILA-Lab/ATLAS

  A principled instruction benchmark on formulating effective queries and prompts for large language models (LLMs). Our paper: https://arxiv.org/abs/2312.16171

  Language:Python92224991

• agconti/kaggle-titanic

  A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.

  Language:Jupyter Notebook8715111678

• chrieke/awesome-geospatial-companies

  :globe_with_meridians: List & Map of 700+ companies for geospatial jobs (GIS, Earth Observation, UAV, Satellite, Digital Farming, ..)

  Language:Python726324781

• parrt/msds621

  Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning

  Language:Jupyter Notebook34891175

• chonyy/ML-auto-baseball-pitching-overlay

  ⚾🤖⚾ Automatic baseball pitching overlay in realtime

  Language:Python28014430

• ivan-bilan/The-Engineering-Manager-Pandect

  A comprehensive reference for all topics related to becoming a great Engineering Manager

  22411042

• aasu14/Data-Science-Hackathon-And-Competition

  Grandmaster in MachineHack (3rd Rank Best) | Top 70 in AnalyticsVidya & Zindi | Expert at Kaggle | Hack AI

  Language:Jupyter Notebook209100116

• shubhamanand43/Applied_AI_Course_Notes

  Applied Artificial intelligence Course from Online course Notes

  Language:Jupyter Notebook16551197

• eabarnes1010/ml_tutorial_csu

  material for the CSU-led machine learning tutorial for earth science research

  Language:Jupyter Notebook882021

• thinkingmachines/ph-poverty-mapping

  Mapping Philippine Poverty using Machine Learning, Satellite Imagery, and Crowd-sourced Geospatial Information

  Language:Jupyter Notebook78141731

• EashanKaushik/car-damage-detecting-MaskRCNN

  Car damage detection using Mask Regional Convolution Neural Network

  Language:Python24127

• EY-Data-Science-Program/2021-Better-Working-World-Data-Challenge

  This github repository has been created for participants in the Better Working World Data Challenge. It contains code and documentation used to set up and manage an analysis environment for completing the Challenge. Please use the Discussions tab for any questions, or to have friendly discussions with other participants in the challenge!

  Language:Jupyter Notebook93185