Alternatives and similar repositories for MLclass:

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

• erachelson / RLclass
  ☆22Updated 5 years ago
• FarnazAdib / Crash_course_on_RL
  This is a self-contained repository to explain two basic Reinforcement (RL) algorithms.
  ☆81Updated 7 months ago
• phuijse / BLNNbook
  Bayesian Learning and Neural Networks (jupyter book sources)
  ☆53Updated 2 years ago
• erachelson / rlvs_rl_fundamentals
  ☆25Updated 4 years ago
• vcerqueira / MLforForecasting
  Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters
  ☆41Updated 5 years ago
• open-optimization / open-optimization-or-book
  Mathematical Programming and Operations Research: Modeling, Algorithms, and Complexity. Examples in Python and Excel. Edited by Robert Hi…
  ☆32Updated last month
• zacharyaanglin / ProbabilisticDeepLearningTensorFlow
  Material for ODSC Europe presentation -- Probabilistic Deep Learning in TensorFlow, the why and the how
  ☆71Updated 5 years ago
• SimonOuellette35 / Introduction_to_PyMC3
  ☆39Updated 6 years ago
• grant-m-s / AstronomicAL
  An interactive dashboard for visualisation, integration and classification of data using Active Learning.
  ☆65Updated 4 months ago
• probabilisticai / probai-2019
  Materials of the Nordic Probabilistic AI School 2019.
  ☆130Updated 4 years ago
• alexandrahotti / Solutions-to-A-Students-Guide-to-Bayesian-Statistics-by-Ben-Lambert
  My solutions to the assignments in the book: "A Student’s Guide to Bayesian Statistics" by Ben Lambert.
  ☆68Updated 10 months ago
• EduardoGarrido90 / UPM_summer_school_GP_BO_course
  Here are the notebooks for the Gaussian Processes and Bayesian Optimization course. The notebooks can be executed in Google Colab.
  ☆27Updated 9 months ago
• sktime / sktime-tutorial-pydata-amsterdam-2020
  Introduction to Machine Learning with Time Series at PyData Festival Amsterdam 2020
  ☆122Updated 3 years ago
• fonnesbeck / mcmc_pydata_london_2019
  PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3
  ☆156Updated 5 years ago
• AlxndrMlk / talks-and-workshops
  Materials for conference talks and workshops
  ☆31Updated last year
• ogrisel / euroscipy-2022-time-series
  Tutorial on time-series forcasting with scikit-learn
  ☆33Updated 2 years ago
• rlabbe / tutorials
  tutorials that may or may not turn into a book
  ☆48Updated 4 years ago
• tensorchiefs / dl_book
  legend
  ☆200Updated last year
• sktime / sktime-workshops
  sktime workshops & tutorials
  ☆13Updated 3 years ago
• cfgranda / math-tools-nyu
  DS-GA 1013 Mathematical Tools for Data Science
  ☆52Updated 3 years ago
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 2 years ago
• ritchie46 / vanilla-machine-learning
  vanilla machine learning
  ☆109Updated last year
• ianxxiao / reinforcement_learning_project
  This repo is for a reinforcement learning project using citiBike data
  ☆28Updated 5 years ago
• oborchers / Medium_Repo
  This repository provides the code examples for the corresponding blog posts. In case you have questions, feel free to contact me directly…
  ☆51Updated 4 years ago
• sintel-dev / Draco
  State space and deep generative models for time series.
  ☆53Updated last year
• cerlymarco / tspiral
  A python package for time series forecasting with scikit-learn estimators.
  ☆161Updated last year
• jaswinder9051998 / zoofs
  zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range fr…
  ☆244Updated 4 months ago
• pyladiesams / conformal-prediction-jan2024
  An introduction to conformal prediction
  ☆25Updated last year
• AxelThevenot / Python_Benchmark_Test_Optimization_Function_Single_Objective
  ☆83Updated 2 years ago
• dorairajsanjay / hmm_tutorial
  HMM Tutorial
  ☆12Updated 7 years ago