Alternatives and similar repositories for advent2021

Users that are interested in advent2021 are comparing it to the libraries listed below

• Machine-Learning-Tokyo / MLT_starterkit
  ☆92Updated 4 years ago
• AllenDowney / SurvivalAnalysisPython
  Explorations of survival analysis in Python
  ☆50Updated 2 years ago
• lewtun / dslectures
  Course materials for introductory data science
  ☆62Updated 2 years ago
• amueller / aml
  Applied Machine Learning with Python
  ☆80Updated last year
• ellmanalex / instacart_basket_analysis
  ☆10Updated 5 years ago
• rasbt / numpy-intro-blogarticle-2020
  Jupyter Notebook for the "Scientific Computing in Python: Introduction to NumPy and Matplotlib" blog article
  ☆49Updated 4 years ago
• EricSchles / datascience_book
  ☆133Updated last year
• PacktPublishing / Deep-Learning-with-fastai-Cookbook
  Deep Learning with fastai Cookbook, published by Packt
  ☆61Updated 2 weeks ago
• DunderData / Tutorials
  Python data science and machine learning from Ted Petrou with Dunder Data
  ☆55Updated 3 years ago
• dennisbakhuis / Tutorials
  Jupyter Notebooks and other material from tutorial sessions on Machine Learning, Data Science, and related
  ☆56Updated 4 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆105Updated 3 years ago
• ivan-bilan / Deep-Learning-for-NLP-Tutorials
  Tutorials for using Tensorflow and Keras for NLP
  ☆14Updated 7 years ago
• kimfetti / Conferences
  Conference Material
  ☆36Updated 3 months ago
• tdpetrou / Minimally-Sufficient-Pandas
  There are always multiple ways to complete a task in Pandas. A minimal subset of the library is sufficient for almost everything.
  ☆90Updated 3 years ago
• npatta01 / pytorch-serving-workshop
  Slides and notebook for the workshop on serving bert models in production
  ☆25Updated 3 years ago
• hadrienj / odsc_training
  Code for the training session at ODSC Europe 2022
  ☆11Updated 3 years ago
• PacktPublishing / Mastering-Machine-Learning-Algorithms-Second-Edition
  Mastering Machine Learning Algorithms Second Edition, published by Packt
  ☆64Updated 4 years ago
• WillKoehrsen / mastering-large-datasets
  Work for Mastering Large Datasets with Python
  ☆20Updated 2 years ago
• dipanjanS / live-manning-nlpconf20
  Papers, code and slides for my session at the live@manning NLP conference, 2020 covering my talk on Deep Transfer Learning for Natural La…
  ☆36Updated 5 years ago
• rasbt / scipy2022-talk
  ☆26Updated 3 years ago
• numfocus / YouTubeVideoTimestamps
  Adding timestamps to NumFOCUS and PyData YouTube videos!
  ☆104Updated 3 years ago
• bespoke-inc / bespoke-public-talks
  Code samples and other materials for presentations by Bespoke tech team members
  ☆82Updated 3 years ago
• suvoooo / Machine_Learning
  Some fundamental machine learning and data-analysis techniques are explained through realistic examples.
  ☆123Updated last year
• PacktPublishing / Artificial-Intelligence-with-Python-Cookbook
  Artificial Intelligence with Python Cookbook, published by Packt
  ☆77Updated 2 weeks ago
• sayakpaul / Emotion-Detection-using-Deep-Learning
  This project demonstrates the use of Deep Learning to detect emotion (sad, angry, happy etc) from the images of faces.
  ☆11Updated 5 years ago
• tdpetrou / integrating-pandas-with-scikit-learn
  Tutorial covering a new workflow available going from pandas to scikit-learn
  ☆39Updated 3 years ago
• ahmedbesbes / mlflow
  Introduction to MLflow with a demo locally and how to set it on AWS
  ☆43Updated 4 years ago
• khuyentran1401 / same-stats-different-graphs
  Create datasets with different graphs but the same statistics
  ☆23Updated 4 years ago
• brohrer / cottonwood
  A flexible neural network framework for running experiments and trying ideas.
  ☆82Updated 5 years ago
• raghavbali / appliedml_workshop_dhs_av_2019
  Content for Applied ML Workshop @ DataHack Summit 2019
  ☆24Updated 6 years ago