Alternatives and similar repositories for IANNWTF-2019:

Users that are interested in IANNWTF-2019 are comparing it to the libraries listed below

• EisenIn / Algebre-Lineaire-2
  Course Material for my course Linear Algebra 2 (in french)
  ☆11Updated 7 months ago
• cliffzhou92 / UCI_MATH_10
  ☆13Updated 3 years ago
• Imperial-College-Data-Science-Society / workshops
  ☆19Updated 2 years ago
• stephenbeckr / numerical-analysis-class
  Undergraduate numerical analysis, first semester, APPM 4650. University of Colorado Boulder
  ☆14Updated 2 years ago
• foucart / Mathematical_Pictures_at_a_Data_Science_Exhibition
  This is a collection of computational illustrations, in MATLAB and in Python, accompanying the book "Mathematical Pictures at a Data Scie…
  ☆10Updated 2 years ago
• MaxPoon / CZ4003-Computer-Vision
  Course repo for NTU course CZ4003 Computer Vision
  ☆10Updated 7 years ago
• smileschen / 2018-sp-stats131
  2018 Spring Stats 131
  ☆10Updated 5 years ago
• ericlaber / ericlaber.github.io
  Course notes and other public-facing content
  ☆13Updated 9 months ago
• schutera / DeepDive
  This is the home of the Hands on Deep Learning Tutorial of the Lecture Computational Intelligence @KIT
  ☆15Updated 10 months ago
• GT-IDEaS / Bootcamp2019
  Central repository for 2019 Summer Data Science Bootcamp instructional materials.
  ☆11Updated 5 years ago
• chagaz / ma2823_2017
  Introduction to Machine Learning at CentraleSupelec (Fall 2017)
  ☆9Updated 7 years ago
• nicolo63 / CDS
  Insegnamento: Coding for Data Science and Data Management, Modulo: B74-7-A (Python) 3 CFU
  ☆18Updated 2 years ago
• stephenbeckr / time-series-class
  MATH/STAT 4540/5540 Introduction to Time Series, spring 2022
  ☆8Updated 2 years ago
• cbuntain / umd.inst414
  Course Material for the iSchool at UMD's INST414, Data Science Techniques
  ☆12Updated 10 months ago
• slinderman / stats271sp2021
  Material for STATS271: Applied Bayesian Statistics (Spring 2021)
  ☆26Updated 3 years ago
• luseiee / machineLearningWithSpark
  Spark projects. Learning book "Machine Learning with Spark"
  ☆10Updated 7 years ago
• HanbaekLyu / Math156_UCLA_SP21
  Repository for Math 156 Machine Learning at UCLA in Spring 2021 (Instructor: Hanbaek Lyu)
  ☆13Updated 3 years ago
• rauhul / cs225
  Data Structures UIUC SP 2016
  ☆8Updated 7 years ago
• JGuymont / mila-courses
  List and description of the courses I took @ Mila
  ☆14Updated 5 years ago
• neuroailab / lr-identify
  A large database of artificial neural network statistics during training
  ☆15Updated 4 years ago
• chagaz / ml-notebooks
  Some machine learning notebooks
  ☆11Updated 3 years ago
• achinnasamy / Free-Python-Books
  A curated collection of free eBooks about Python
  ☆11Updated 6 years ago
• samiraabnar / Bridge
  Making a bridge between NLP models and Brain data
  ☆18Updated 4 years ago
• doerlbh / mentalRL
  Code for our AAMAS 2020 paper: "A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry".
  ☆26Updated last year
• PrincetonCompMemLab / narrative
  Coffee Shop World!
  ☆8Updated 7 years ago
• jordanspooner / ic-third-year-notes
  Notes for third year Computing at Imperial College London (incomplete)
  ☆11Updated 5 years ago
• rycolab / aflt-f2022
  ☆15Updated 2 years ago
• Doraemonzzz / EE263-Introduction-to-Linear-Dynamical-Systems
  记录斯坦福公开课EE263的学习资料以及笔记。
  ☆12Updated 5 years ago
• saniikakulkarni / Gaussian-Mixture-Model-from-scratch
  Implementing Gaussian Mixture Model from scratch using python class and Expectation Maximization algorithm. It is a clustering algorithm …
  ☆11Updated 3 years ago
• berenslab / neural_data_science
  Contains programming labs and lecture notes for the lecture "Neural Data Science"
  ☆101Updated 3 years ago