Alternatives and similar repositories for Inference_and_Representation

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

• schelterlabs / deml-lab
  Lab tasks for the course on "Data Engineering for Machine Learning"
  ☆10Updated 2 years ago
• davidrosenberg / ttml2021
  Course materials for DSGA 3001: Tools and Techniques for Machine Learning (Spring 2021)
  ☆36Updated 3 years ago
• springcoil / probabilisticprogrammingprimer
  ☆90Updated 4 years ago
• junpenglao / advance-bayesian-modelling-with-PyMC3
  ☆240Updated 7 years ago
• ijmbarr / notes-on-causal-inference
  Some notes on Causal Inference, with examples in python
  ☆154Updated 5 years ago
• inf16nyu / home
  ☆78Updated 8 years ago
• davidrosenberg / mlcourse
  Machine learning course materials.
  ☆576Updated 2 years ago
• UCB-MIDS / w241
  This is the course repository for w241 and 290 -- Experiments and Causality.
  ☆17Updated 4 years ago
• ericmjl / bayesian-analysis-recipes
  A collection of Bayesian data analysis recipes using PyMC3
  ☆561Updated 2 years ago
• AM207 / 2018fall
  ☆38Updated 4 years ago
• charlieblue17 / timeseries2018
  Course page for DS-GA 3001.001 Modeling Time Series Data
  ☆43Updated 7 years ago
• sidravi1 / Blog
  ☆24Updated 5 years ago
• junpenglao / PrecisionWorkshop1_Prep
  Preparation materials for CEAi Precision Workshop #1 on Bayesian modelling
  ☆58Updated 7 years ago
• ksachdeva / rethinking-tensorflow-probability
  Statistical Rethinking (2nd Ed) with Tensorflow Probability
  ☆272Updated 3 years ago
• gbosquechacon / statrethink_course_in_pymc3
  Statistical Rethinking course in pymc3
  ☆143Updated 5 years ago
• fonnesbeck / Bayes_Computing_Course
  ☆232Updated 4 years ago
• dobriban / Topics-in-deep-learning
  Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)
  ☆94Updated 2 years ago
• hse-aml / bayesian-methods-for-ml
  Materials for "Bayesian Methods for Machine Learning" Coursera MOOC
  ☆137Updated 5 years ago
• rasbt / stat479-deep-learning-ss19
  Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison
  ☆542Updated 6 years ago
• rasbt / stat479-machine-learning-fs18
  Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison
  ☆493Updated 6 years ago
• JWarmenhoven / DBDA-python
  Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
  ☆689Updated 4 years ago
• ChicagoBoothAnalytics / site
  Chicago Booth Analytics website / wiki
  ☆25Updated 6 years ago
• leomiolane / linalg-for-ds
  Linear Algebra and Optimization for Data Science
  ☆24Updated 4 years ago
• canyon289 / bayesian-model-evaluation
  Presented at Scipy Conference 2019
  ☆127Updated 5 years ago
• twiecki / WhileMyMCMCGentlySamples
  my blog
  ☆269Updated 3 years ago
• dgkim5360 / the-elements-of-statistical-learning-notebooks
  Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Frie…
  ☆293Updated 7 years ago
• Harvard-IACS / 2019-CS109B
  ☆62Updated 6 years ago
• ericmjl / bayesian-stats-modelling-tutorial
  How to do Bayesian statistical modelling using numpy and PyMC3
  ☆670Updated 3 years ago
• betanalpha / jupyter_case_studies
  Inference case studies in jupyter
  ☆93Updated 7 years ago
• fairmlbook / fairmlbook.github.io
  ☆32Updated last year