Alternatives and similar repositories for lectures2020:

Users that are interested in lectures2020 are comparing it to the libraries listed below

• aleatory-science / deep-probprog-course
  Deep Probabilistic Programming Course @ DIKU
  ☆57Updated 4 years ago
• probml / bandits
  Bayesian Bandits
  ☆68Updated last year
• cranmer / stats-ds-book
  http://cranmer.github.io/stats-ds-book
  ☆68Updated 3 years ago
• probabilisticai / probai-2019
  Materials of the Nordic Probabilistic AI School 2019.
  ☆129Updated 4 years ago
• mblondel / teaching
  ☆85Updated 4 years ago
• neurospin / pystatsml
  Statistics and Machine Learning in Python
  ☆67Updated 4 years ago
• probabilisticai / probai-2023
  Materials of the Nordic Probabilistic AI School 2023.
  ☆88Updated last year
• dobriban / Topics-in-deep-learning
  Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)
  ☆94Updated 2 years ago
• telecombcn-dl / lectures-all
  Central repository for all lectures on deep learning at UPC ETSETB TelecomBCN.
  ☆52Updated 2 years ago
• slinderman / stats271sp2021
  Material for STATS271: Applied Bayesian Statistics (Spring 2021)
  ☆26Updated 3 years ago
• rishabhk108 / OptimizationML
  Material for my course: Optimization in Machine Learning
  ☆31Updated 3 years ago
• agramfort / DS3_practical_optim_for_ml
  Notebooks from DS3 course on practical optimization
  ☆15Updated 4 years 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…
  ☆54Updated 4 years ago
• ExpectationMax / sklearn-jax-kernels
  Composable kernels for scikit-learn implemented in JAX.
  ☆42Updated 4 years ago
• n2cholas / shapecheck
  Framework-agnostic library for checking array/tensor shapes at runtime.
  ☆47Updated 3 years ago
• hardmaru / mdn_jax_tutorial
  Mixture Density Networks (Bishop, 1994) tutorial in JAX
  ☆58Updated 4 years ago
• gwgundersen / ml
  A didactic Python library with well-commented and annotated implementations of machine learning algorithms.
  ☆51Updated 4 years ago
• tensorchiefs / dl_course_2020
  The 2020 Version of the Deep Learning Course
  ☆8Updated 4 years ago
• M2Lschool / tutorials2021
  Mediterranean Machine Learning school tutorials
  ☆92Updated 4 years ago
• canyon289 / ssm_book_club
  ☆18Updated last year
• RobertTLange / reading-notes-ml
  Progress, Notes, Summaries and a lot of Questions on Machine Learning
  ☆55Updated 5 years ago
• alan-turing-institute / mathematics-of-ml-course
  ☆40Updated 2 years ago
• jambo6 / neuralRDEs
  Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)
  ☆115Updated 3 years ago
• michalwols / yann
  Yet Another Neural Network Library 🤔
  ☆25Updated last month
• rishabhk108 / AdvancedOptML
  CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning
  ☆175Updated 3 years ago
• probml / probml-utils
  Utilities for probabilistic ML
  ☆33Updated last year
• RobertTLange / code-and-blog
  Some small scale experiments for my blog posts 📝
  ☆79Updated 2 years ago
• Machine-Learning-Tokyo / practical-ml-implementations
  ML implementations for practical use
  ☆15Updated 4 years ago
• PGM-Lab / probabilisticAI_tutorials
  Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2019 (https://2019.probabilistic.ai/)
  ☆20Updated 5 years ago
• aterenin / phdthesis
  Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces
  ☆197Updated 2 years ago