Alternatives and similar repositories for am207

Users that are interested in am207 are comparing it to the libraries listed below

• philipphennig / NumericsOfML
  Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen
  ☆202Updated last year
• TinyVolt / normalizing-flows
  Implementation of normalizing flows from 1d to Nd
  ☆33Updated 4 years ago
• gerdm / bayes
  Neat Bayesian machine learning examples
  ☆56Updated 3 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 10 months ago
• ctanujit / MATH350
  Statistical Inference Course
  ☆41Updated 4 months ago
• mohd-faizy / Probabilistic-Deep-Learning-with-TensorFlow
  Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of…
  ☆65Updated 5 months ago
• SummerSchoolMachineLearning / SMILES2020
  Repository with all material for SMILES, the Summer School of Machine Learning at Skoltech, taking place from the 16th to the 21st of Aug…
  ☆55Updated 4 years ago
• DanieleGammelli / pyro-torch-normalizing-flows
  Implementations of Normalizing Flows in Pytorch/Pyro
  ☆19Updated 5 years ago
• lwehbe / 10606607_M20
  ☆14Updated 4 years ago
• philipphennig / Probabilistic_ML
  Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023
  ☆152Updated last year
• snowdj / CS228_PGM
  🌀 Stanford CS 228 - Probabilistic Graphical Models
  ☆85Updated 6 years ago
• probml / probml-notebooks
  Notebooks for "Probabilistic Machine Learning" book
  ☆203Updated 3 years ago
• cliburn / sta-663-2020
  ☆45Updated 5 years ago
• mfinzi / neural-ivp
  ☆11Updated 2 years ago
• SergeiVKalinin / UTK-Spring-2023---Automated-Experiment
  Spring 2023 seminar on automated experiment
  ☆23Updated last year
• IPAIopen / NumDL-CourseNotes
  Course notes for graduate-level class on numerical methods for deep learning
  ☆50Updated 4 years ago
• tum-pbs / half-inverse-gradients
  Source code for the ICLR'22 paper on "Half-Inverse Gradients"
  ☆18Updated 3 years ago
• AllenDowney / BayesianInferencePyMC
  Workshop on Bayesian inference using PyMC
  ☆27Updated 3 years ago
• kyg0910 / -STT997-Deep-Generative-Model
  ☆34Updated last month
• gpschool / gpss21
  ☆12Updated 2 years ago
• Bostanabad-Research-Group / GP-for-pde-solving
  ☆17Updated 6 months ago
• brandstetter-johannes / LPSDA
  Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"
  ☆49Updated last year
• qiauil / torchfsm
  TorchFSM: Fourier Spectral Method with PyTorch
  ☆33Updated this week
• chr1shr / am205_examples
  Harvard Applied Math 205: Code Examples
  ☆86Updated 2 years ago
• tum-pbs / PhiML
  Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy
  ☆86Updated this week
• dobriban / stat-ml-edu
  Resources for education in statistics and machine learning: from advanced undergraduate to research level
  ☆93Updated 11 months ago
• weijie-chen / Matplotlib_Essentials
  An Essential Graphic Primer of Matplotlib
  ☆29Updated 3 years ago
• se-jaeger / conformal-data-cleaning
  Code for the AISTATS 2024 Paper "From Data Imputation to Data Cleaning - Automated Cleaning of Tabular Data Improves Downstream Predictiv…
  ☆21Updated last year
• niaohe / Big-Data-Optimization-Course
  Repository for my Big Data Optimization course
  ☆34Updated 4 years ago
• EmoryMLIP / DeepGenerativeModelingIntro
  PyTorch Code used in 'Introduction to Deep Generative Modeling'
  ☆52Updated 4 years ago