Alternatives and similar repositories for yxkd

Users that are interested in yxkd are comparing it to the libraries listed below

• knakamura13 / cs7641-ml-study-materials-2023
  A collection of study materials for OMSCS CS7641 Machine Learning.
  ☆108Updated last year
• m4ttsch / omscs-notes-notes
  The raw markdown notes for OMSCS Notes.
  ☆177Updated last year
• raymondhfeng / Algorithms_DPV_Solutions
  My solutions for Algorithms by Dasgupta, Papadimitriou, and Vazirani
  ☆199Updated 5 years ago
• stevenxchung / OMSCS-Notes
  Notes from various courses in OMSCS program for reference only. For obvious reasons, no non-public coursework or materials exist in this …
  ☆156Updated 2 years ago
• sinclam2 / fifty-challenging-problems-in-probability
  My solutions to the problems in Fifty Challenging Problems in Probability by Frederick Mosteller
  ☆252Updated 6 years ago
• jlm429 / bettermdptools
  so much room for activities
  ☆31Updated this week
• meagmohit / mlquant-interview-question-bank
  Question bank for ML/Quant Interviews
  ☆58Updated 3 years ago
• ptmminh / quanttest
  Jane Street quant interview/test
  ☆120Updated 8 years ago
• TidorP / MLJobSearch2025
  ML Companies Tier List and Interview Questions
  ☆245Updated 6 months ago
• hiive / mlrose
  Python package for implementing a number of Machine Learning, Randomized Optimization and SEarch algorithms.
  ☆96Updated 9 months ago
• mohamedameen-io / CS-7641-Machine-Learning-Notes
  In this repository, I will publish my notes for GaTech's Machine Learning course CS7641.
  ☆223Updated 4 years ago
• superlinear-ai / awesome-machine-learning-engineer
  🤓 A curated awesome list of Machine Learning Engineering resources. Feel free to contribute!
  ☆299Updated last year
• Guido1Alessandro1Trevisan / coach-quant
  Free question bank for quant interviews
  ☆30Updated 9 months ago
• xialijun0801 / qfin
  Books for Quant Finance Interviews
  ☆82Updated 10 years ago
• hiive / hiivemdptoolbox
  Markov Decision Process (MDP) Toolbox for Python
  ☆21Updated 3 years ago
• terrytangyuan / distributed-ml-patterns
  Distributed Machine Learning Patterns from Manning Publications by Yuan Tang https://bit.ly/2RKv8Zo
  ☆484Updated last week
• adijo / data-science-prep
  Problems from https://datascienceprep.com/
  ☆123Updated 4 years ago
• nimashahbazi / optiver-trading-close
  ☆471Updated last year
• vsmolyakov / ml_algo_in_depth
  ML algorithms in depth
  ☆271Updated last year
• dingran / quant-notes
  Quantitative Interview Preparation Guide, updated version here ==>
  ☆894Updated 6 years ago
• meagmohit / ml-quant-interview-prep
  Preparation material and resources for the ML (including DL) and Quant Research interviews
  ☆143Updated 5 years ago
• Ekeany / XGBoost-From-Scratch
  This repo contains a few tree based boosting algorithms implemented in python from scratch. This code relates to a medium.com article whi…
  ☆65Updated 4 years ago
• aquanauts / python_interview
  Our Python Programming Interview
  ☆104Updated 2 years ago
• joshuali99 / Citadel-Summer-Datathon-2021
  Winning submission for the Citadel 2021 Data Open. An Empirical Analysis of New Orleans's Rental Regulations on Airbnb Listings.
  ☆13Updated 4 years ago
• opethe1st / Algorithms-by-S.Dasgupta
  Attempts to solve exercises and implementation of algorithms from Algorithms by S.Dasgupta et al.
  ☆103Updated 8 years ago
• jlm429 / pyperch
  Randomized opt networks with PyTorch
  ☆17Updated this week
• geniayuan / datasciencecoursera
  for Data Science class on Coursera
  ☆535Updated 6 years ago
• microprediction / microprediction
  If you can measure it, consider it predicted
  ☆367Updated 3 weeks ago
• empathy87 / The-Elements-of-Statistical-Learning-Python-Notebooks
  A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book
  ☆908Updated 4 years ago
• iamsecretlyflash / Aries-IITD
  Resources for anybody interested in Artificial Intelligence and Machine Learning
  ☆22Updated last year