Alternatives and similar repositories for AdvancedOptML

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

• acecreamu / ai-residency
  Example of a Cover letter for AI Residency
  ☆80Updated 5 years ago
• SouravDutta91 / AI-Residency-List
  List of AI Residency & Research programs, Ph.D Fellowships, Research Internships
  ☆158Updated 4 years ago
• sscardapane / reprodl2021
  Host repository for the "Reproducible Deep Learning" PhD course
  ☆405Updated 3 years ago
• craffel / dl3d-seminar
  Course webpage for COMP 790, (Deep) Learning from Limited Labeled Data
  ☆304Updated 4 years ago
• eemlcommunity / PracticalSessions2020
  Repository for tutorial sessions at EEML2020
  ☆272Updated 4 years ago
• TheShadow29 / research-advice-list
  A compilation of research advice.
  ☆219Updated 4 years ago
• AakashKumarNain / TF_JAX_tutorials
  All about the fundamental blocks of TF and JAX!
  ☆274Updated 3 years ago
• probabilisticai / probai-2021
  Materials of the Nordic Probabilistic AI School 2021.
  ☆93Updated 3 years ago
• rishabhk108 / OptimizationML
  Material for my course: Optimization in Machine Learning
  ☆31Updated 4 years ago
• tirtharajdash / BITS-G513_MetaLearning
  Labs for the course on Meta Learning at BITS-Goa
  ☆34Updated 4 years ago
• ankitshah009 / all-about-ai-residency
  AI residency programs information
  ☆469Updated 2 years ago
• joanbruna / MathsDL-spring19
  Mathematics of Deep Learning, Courant Insititute, Spring 19
  ☆276Updated 6 years ago
• probabilisticai / probai-2023
  Materials of the Nordic Probabilistic AI School 2023.
  ☆90Updated last year
• facebookresearch / MathsFromExamples
  Source code, datasets and trained models for the paper Learning Advanced Mathematical Computations from Examples (ICLR 2021), by François…
  ☆180Updated 3 years ago
• probabilisticai / probai-2019
  Materials of the Nordic Probabilistic AI School 2019.
  ☆130Updated 5 years ago
• Machine-Learning-Tokyo / Math_resources
  ☆343Updated 4 years ago
• kushagra06 / CS228_PGM
  🌀 Stanford CS 228 - Probabilistic Graphical Models
  ☆121Updated 6 years ago
• xbresson / CS4243_2022
  Computer Vision and Pattern Recognition, NUS CS4243, 2022
  ☆169Updated 3 years ago
• probml / probml-notebooks
  Notebooks for "Probabilistic Machine Learning" book
  ☆203Updated 3 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
• eemlcommunity / PracticalSessions2022
  Hands-on tutorials at EEML2022 summer school
  ☆63Updated 2 years ago
• wandb / awesome-dl-projects
  This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.
  ☆339Updated 3 years ago
• eemlcommunity / PracticalSessions2021
  ☆64Updated 3 years ago
• vlgiitr / DL_Topics
  List of DL topics and resources essential for cracking interviews
  ☆445Updated 2 years ago
• haven-ai / haven-ai
  To Run, Manage and Visualize Large Scale Experiments
  ☆168Updated last year
• Machine-Learning-Tokyo / __init__
  ☆138Updated 2 years ago
• Feynman687 / Interviews
  ☆318Updated 4 years ago
• rasbt / stat453-deep-learning-ss20
  STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)
  ☆571Updated 5 years ago
• acmi-lab / cmu-10721-philosophy-machine-intelligence
  Official repository for CMU Machine Learning Department's 10721: "Philosophical Foundations of Machine Intelligence".
  ☆262Updated 2 years ago
• acmi-lab / cmu-10717-the-art-of-the-paper
  Official repository for CMU Machine Learning Department's 10717: "The Art of the Paper".
  ☆288Updated 3 years ago