Alternatives and similar repositories for Advanced-Machine-Learning-Projects

Users that are interested in Advanced-Machine-Learning-Projects are comparing it to the libraries listed below

• efmkoene / AML-2018-cheatsheet
  Cheatsheet for Advanced Machine Learning exam @ ETH Zürich, 2018-2019.
  ☆11Updated 6 years ago
• PCAubin / RKHS
  Jupyter notebook and the like to discover the beautiful world of Reproducing Kernel Hilbert Spaces
  ☆13Updated 6 years ago
• ORF307 / companion
  Supporting material for Princeton ORF307
  ☆10Updated 5 months ago
• slinderman / stats305c
  STATS305C: Applied Statistics III (Spring, 2023)
  ☆26Updated 2 years ago
• rauhul / cs225
  Data Structures UIUC SP 2016
  ☆9Updated 8 years ago
• lwehbe / 10606607_M20
  ☆14Updated 4 years ago
• lukeeffenberger / IANNWTF-2019
  Welcome to the course page of course 8.3304 "Implementing ANNs with TensorFlow". On this page you will find all relevant information and …
  ☆9Updated 5 years ago
• data-psl / lectures2020
  ☆48Updated 2 years ago
• zhixuan-lin / cs285-fall-2019
  My solutions to CS285 2019 Fall of UC Berkeley
  ☆14Updated 2 years ago
• epfl-ada / 2020
  Materials for Applied Data Analysis CS-401, fall 2020
  ☆50Updated 2 years ago
• cviaai / RL-DBS
  Reinforcement learning for deep brain stimulation (DBS) modeling
  ☆25Updated 3 years ago
• grasool / Gaussian-Processes
  Introduction to Gaussian Processes
  ☆29Updated 7 years ago
• ShuaiGuo16 / Gaussian-Process
  Implementing a Gaussian Process regression model from scratch
  ☆23Updated 4 years ago
• NicolasDurrande / Gaussian-Processes-short-course
  ☆14Updated 8 years ago
• EisenIn / Algebre-Lineaire-2
  Course Material for my course Linear Algebra 2 (in french)
  ☆12Updated last month
• marcinbogdanski / rl-sketchpad
  Collection of Deep Reinforcement Learning Jupyter Notebooks. Each notebook is self-contained and presents single algorithm. These include…
  ☆38Updated 5 years ago
• gpeyre / gpeyre.github.io
  My homepage
  ☆14Updated last month
• ericlaber / ericlaber.github.io
  Course notes and other public-facing content
  ☆14Updated last year
• d9w / deep-learning-intro
  Introduction to Deep Learning
  ☆11Updated 4 years ago
• wangshusen / CS583-2021S
  CS 583: Deep Learning
  ☆17Updated 4 years ago
• duke-mlss / Duke-MLWS-2019
  Duke Machine Learning Winter School 2019
  ☆27Updated 6 years ago
• raamana / kernelmethods
  Foundational library for Kernel methods in pattern analysis and machine learning
  ☆42Updated 2 years ago
• APMLA-2021 / APMLA-WS_21-22_material
  ☆29Updated 3 years ago
• smileschen / 2018-sp-stats131
  2018 Spring Stats 131
  ☆10Updated 6 years ago
• benelot / eth-machine-learning-summary
  We cherry-pick the most understandable explanations and definitions into one summary to summarize the content of the lecture about Machin…
  ☆44Updated 8 years ago
• adam-oberman / adam-oberman.github.io
  Adam Oberman McGill Professor page
  ☆8Updated 2 weeks ago
• rishabhk108 / OptimizationML
  Material for my course: Optimization in Machine Learning
  ☆31Updated 4 years ago
• madvn / infotheory
  C++/Python Information theoretic analyses tools
  ☆40Updated 2 years ago
• cliffzhou92 / UCI_MATH_10
  ☆13Updated 4 years ago
• dderiso / gdtw
  GDTW is a Python/C++ library that performs dynamic time warping. It is based on a paper by Dave Deriso and Stephen Boyd.
  ☆41Updated last month