Alternatives and similar repositories for info8006-introduction-to-ai

Users that are interested in info8006-introduction-to-ai are comparing it to the libraries listed below

• glouppe / info8004-advanced-machine-learning
  Lectures for INFO8004 Advanced Machine Learning, ULiège
  ☆113Updated 5 months ago
• visual-ml-notes / visual-machine-learning-notes
  Machine Learning Conference & Summer School Notes. 🦄
  ☆573Updated 4 years ago
• Machine-Learning-Tokyo / Deep_Reinforcement_Learning
  Resources, papers, tutorials
  ☆125Updated 5 years ago
• rasbt / stat479-deep-learning-ss19
  Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison
  ☆541Updated 6 years ago
• pukkapies / dl-imperial-maths
  Code and assignment repository for the Imperial College Mathematics department Deep Learning course
  ☆265Updated 6 years ago
• xbresson / CE7454_2019
  Deep learning course CE7454, 2019
  ☆191Updated 5 years ago
• Machine-Learning-Tokyo / Math_resources
  ☆345Updated 5 years ago
• fastai / numerical-linear-algebra-v2
  Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program
  ☆276Updated 7 years ago
• rasbt / stat453-deep-learning-ss20
  STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)
  ☆574Updated 5 years ago
• stared / thinking-in-tensors-writing-in-pytorch
  Thinking in tensors, writing in PyTorch (a hands-on deep learning intro)
  ☆384Updated 8 months ago
• amueller / COMS4995-s19
  COMS W4995 Applied Machine Learning - Spring 19
  ☆303Updated 6 years ago
• hse-aml / bayesian-methods-for-ml
  Materials for "Bayesian Methods for Machine Learning" Coursera MOOC
  ☆135Updated 5 years ago
• joanbruna / MathsDL-spring19
  Mathematics of Deep Learning, Courant Insititute, Spring 19
  ☆278Updated 6 years ago
• khipu-ai / practicals-2019
  Practical notebooks for Khipu 2019, held in Universidad de la República in Montevideo.
  ☆244Updated 5 years ago
• eemlcommunity / PracticalSessions2020
  Repository for tutorial sessions at EEML2020
  ☆270Updated 4 years ago
• mlss-2019 / tutorials
  ☆275Updated 5 years ago
• vbartle / MML-Companion
  This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…
  ☆286Updated 4 years ago
• Machine-Learning-Tokyo / DL-workshop-series
  Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)
  ☆934Updated last year
• rasbt / stat479-machine-learning-fs18
  Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison
  ☆492Updated 6 years ago
• fastai / book_nbs
  Notebooks for upcoming fastai book (draft / incomplete)
  ☆162Updated 5 years ago
• rasbt / stat479-machine-learning-fs19
  Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison
  ☆755Updated 4 years ago
• kojino / Harvard-Robust-Machine-Learning
  Repository for CS282R: Robust Machine Learning at Harvard University.
  ☆73Updated 7 years ago
• ivan-vasilev / advanced-deep-learning-with-python
  Advanced Deep Learning with Python
  ☆110Updated 3 years ago
• tmlss2018 / PracticalSessions
  ☆123Updated 7 years ago
• anhquan0412 / basic_model_scratch
  Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library
  ☆595Updated 5 years ago
• ahmedbesbes / Neural-Network-from-scratch
  Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?
  ☆264Updated 6 years ago
• acbraith / CSML_notes
  UCL MSc Computational Statistics and Machine Learning Revision Notes
  ☆288Updated 7 years ago
• sgfin / sgfin.github.io_old
  Sam Finlayson's Academic blog
  ☆95Updated 5 years ago
• dair-ai / pytorch_notebooks
  🔥 A collection of PyTorch notebooks for learning and practicing deep learning
  ☆580Updated 2 years ago
• pyoungkangkim / Generative-Deep-Learning-Code-in-Pytorch
  The code repository for examples in the O'Reilly book 'Generative Deep Learning' using Pytorch
  ☆184Updated 5 years ago