Alternatives and similar repositories for statistical-machine-learning

Users that are interested in statistical-machine-learning are comparing it to the libraries listed below

• francescocicala / deep-learning-with-pytorch
  Deep learning lectures I am holding for the MSc on Data Science and Scientific Computing
  ☆13Updated 3 years ago
• random-matrix-learning / random-matrix-learning.github.io
  Website for the ICML 2021 tutorial on Random Matrix Theory and Machine Learning
  ☆15Updated 3 years ago
• rishabhk108 / OptimizationDemos
  Some simple demos I use in my optimization in ML course. Includes implementations of ML loss functions (Logistic Loss, SVM Loss, ..) and …
  ☆13Updated 4 years ago
• shiernee / Advanced_ML
  ☆82Updated 2 years ago
• lwehbe / 10606607_M20
  ☆14Updated 4 years ago
• JGuymont / mila-courses
  List and description of the courses I took @ Mila
  ☆15Updated 6 years ago
• eemlcommunity / PracticalSessions2022
  Hands-on tutorials at EEML2022 summer school
  ☆63Updated 3 years ago
• data-psl / lectures2020
  ☆48Updated 2 years ago
• AndreasMadsen / nlp-roar-interpretability
  Measuring if attention is explanation with ROAR
  ☆22Updated 2 years ago
• ganselmif / adv-ml-units
  Repository for the Advanced Topics in Machine Learning practica (@ UniTS, Spring 2023)
  ☆18Updated 7 months ago
• rovle / gpt3-in-context-fitting
  Experiments on GPT-3's ability to fit numerical models in-context.
  ☆14Updated 2 years ago
• sscardapane / neural-networks-for-data-science
  Notebooks for a course
  ☆39Updated 5 years ago
• msaroufim / mynotes
  ☆18Updated 2 weeks ago
• Imperial-College-Data-Science-Society / workshops
  ☆19Updated 2 years ago
• epfml / opt-summerschool
  Short Course on Optimization for Machine Learning - Slides and Practical Labs - DS3 Data Science Summer School, June 24 to 28, 2019, Pari…
  ☆20Updated 6 years ago
• rishabhk108 / OptimizationML
  Material for my course: Optimization in Machine Learning
  ☆31Updated 4 years ago
• rpatrik96 / nl-causal-representations
  This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (partic…
  ☆18Updated 10 months ago
• ganguli-lab / degrees-of-freedom
  ☆37Updated 3 years ago
• sgugger / hf_examples
  NLP Examples using the 🤗 libraries
  ☆41Updated 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…
  ☆55Updated 4 years ago
• probabilisticai / probai-2023
  Materials of the Nordic Probabilistic AI School 2023.
  ☆90Updated last year
• dlvu / vugrad
  Yet another mini autodiff system for educational purposes
  ☆30Updated 8 months ago
• samiraabnar / Bridge
  Making a bridge between NLP models and Brain data
  ☆18Updated 5 years ago
• ML-Collective / rl-playground
  This repo is for members of the rl-implementation channel on MLC Discord to play with RL algorithms and learn.
  ☆10Updated 3 years ago
• ermongroup / SPN_Variational_Inference
  PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020
  ☆17Updated 3 years ago
• slinderman / stats305c
  STATS305C: Applied Statistics III (Spring, 2023)
  ☆26Updated 2 years ago
• gwgundersen / rflvm
  Random feature latent variable models in Python
  ☆22Updated last year
• erachelson / RLclass
  ☆22Updated 5 years ago
• ahmedmalaa / Symbolic-Metamodeling
  Codebase for "Demystifying Black-box Models with Symbolic Metamodels", NeurIPS 2019.
  ☆50Updated 5 years ago
• seanswyi / transformer-implementation
  Personal implementation of the Transformer paper.
  ☆22Updated last year