Alternatives and similar repositories for TIL6022-22:

Users that are interested in TIL6022-22 are comparing it to the libraries listed below

• fastai / course20
  Deep Learning for Coders, 2020, the website
  ☆844Updated 2 years ago
• snowdj / CS228_PGM
  🌀 Stanford CS 228 - Probabilistic Graphical Models
  ☆76Updated 6 years ago
• dheerajpatta / Coursera-1
  Quiz & Assignment of Coursera
  ☆16Updated 6 years ago
• Harvard-IACS / 2021-CS109B
  ☆46Updated 2 years ago
• ksachdeva / rethinking-tensorflow-probability
  Statistical Rethinking (2nd Ed) with Tensorflow Probability
  ☆272Updated 3 years ago
• HeroKillerEver / coursera-deep-learning
  Solutions to all quiz and all the programming assignments!!!
  ☆639Updated 4 years ago
• aloctavodia / BAP3
  Figures and code examples from Bayesian Analysis with Python (third edition)
  ☆180Updated 3 weeks ago
• BayesianModelingandComputationInPython / BookCode_Edition1
  ☆511Updated 9 months ago
• stan-dev / pystan
  PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io
  ☆348Updated 7 months ago
• junpenglao / PrecisionWorkshop1_Prep
  Preparation materials for CEAi Precision Workshop #1 on Bayesian modelling
  ☆57Updated 6 years ago
• PacktPublishing / Hands-On-Gradient-Boosting-with-XGBoost-and-Scikit-learn
  Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt
  ☆202Updated 2 years ago
• ericmjl / bayesian-analysis-recipes
  A collection of Bayesian data analysis recipes using PyMC3
  ☆555Updated last year
• krishnonwork / mathematical-methods-in-deep-learning-ipython
  Python code (in the form of Jupyter ipython notebooks) to support the book "Math and Architectures of Deep Learning" (Krishnendu Chaudhur…
  ☆157Updated 8 months ago
• onepounchman / ISLR-Exercises-Solutions
  The unofficial solutions to An Introduction to Statistical Learning with Applications in R (ISLR)
  ☆7Updated 5 years ago
• amueller / COMS4995-s20
  COMS W4995 Applied Machine Learning - Spring 20
  ☆245Updated 2 years ago
• fonnesbeck / mcmc_pydata_london_2019
  PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3
  ☆156Updated 4 years ago
• junpenglao / advance-bayesian-modelling-with-PyMC3
  ☆237Updated 6 years ago
• hugobowne / bayesian-stats-simulation-tutorial
  Bayesian statistical modelling using numpy and PyMC3. Telling stories using the language of probability. And more!
  ☆16Updated 5 years ago
• gbosquechacon / statrethink_course_in_pymc3
  Statistical Rethinking course in pymc3
  ☆142Updated 4 years ago
• DataForScience / Causality
  ☆465Updated 8 months ago
• AlxndrMlk / causality
  Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
  ☆136Updated 6 months ago
• cambridgespark / pydata-testing-for-data-science
  ☆25Updated 8 months ago
• PacktPublishing / Deep-Learning-with-TensorFlow-and-Keras-3rd-edition
  Deep Learning with TensorFlow and Keras – 3rd edition, Published by Packt
  ☆193Updated last year
• aloctavodia / BAP
  Bayesian Analysis with Python (Second Edition)
  ☆656Updated last year
• hoangnguyen7699 / StatisticsForApplication_solution
  ☆60Updated last year
• fonnesbeck / Bayes_Computing_Course
  ☆231Updated 3 years ago
• ericmjl / essays-on-data-science
  In which I put together my thoughts on the practice of data science.
  ☆292Updated last year
• altdeep / causalML
  The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML
  ☆745Updated 6 months ago
• Brandon-HY-Lin / coursera_How-to-Win-a-Data-Science-Competition-Learn-from-Top-Kagglers
  Labs and Project from the course "How to Win a Data Science Competition: Learn from Top Kagglers"
  ☆141Updated 5 years ago
• PacktPublishing / Causal-Inference-and-Discovery-in-Python
  Causal Inference and Discovery in Python by Packt Publishing
  ☆828Updated 6 months ago