Alternatives and similar repositories for learning-machine

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

• Atcold / NYU-DLSP21
  NYU Deep Learning Spring 2021
  ☆1,652Updated 2 months ago
• the-full-stack / fsdl-text-recognizer-2021-labs
  Complete deep learning project developed in Full Stack Deep Learning, Spring 2021
  ☆447Updated 4 years ago
• fastai / course20
  Deep Learning for Coders, 2020, the website
  ☆846Updated 3 years ago
• yoninazarathy / MathematicalEngineeringDeepLearning
  Material for The Mathematical Engineering of Deep Learning. See https://deeplearningmath.org
  ☆464Updated last year
• unpingco / Python-for-Probability-Statistics-and-Machine-Learning-2E
  Second edition of Springer Book Python for Probability, Statistics, and Machine Learning
  ☆373Updated 4 years ago
• leehanchung / awesome-full-stack-machine-learning-courses
  Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.
  ☆505Updated 2 months ago
• Machine-Learning-Tokyo / Math_resources
  ☆346Updated 5 years ago
• 5x12 / themlsbook
  This repository is a supplement to the 'Machine Learning Simplified: A Gentle Introduction to Supervised Learning' book.
  ☆433Updated last year
• kabartay / openunivcourses
  FREE ML Courses from Top Universities
  ☆254Updated 4 months ago
• ritchieng / deep-learning-wizard
  Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more.
  ☆867Updated 4 months ago
• amitness / papers-with-video
  A browser extension that links video explanations to research papers on arxiv.org
  ☆412Updated 2 years ago
• wandb / awesome-dl-projects
  This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.
  ☆343Updated 3 years ago
• ckaestne / seai
  CMU Lecture: Machine Learning In Production / AI Engineering / Software Engineering for AI-Enabled Systems (SE4AI)
  ☆442Updated 2 years ago
• PacktPublishing / The-Kaggle-Book
  Code Repository for The Kaggle Book, Published by Packt Publishing
  ☆2,306Updated last month
• Paperspace / PyTorch-101-Tutorial-Series
  PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.
  ☆265Updated 5 years ago
• glouppe / info8010-deep-learning
  Lectures for INFO8010 Deep Learning, ULiège
  ☆1,275Updated 3 weeks ago
• dafriedman97 / mlbook
  Repository for the free online book Machine Learning from Scratch (link below!)
  ☆1,294Updated 2 years ago
• parrt / msds621
  Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning
  ☆348Updated 4 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…
  ☆299Updated 5 years ago
• Gautam-J / Machine-Learning
  Implementation of different ML Algorithms from scratch, written in Python 3.x
  ☆411Updated 2 years ago
• AstronomerAmber / ML_prep
  Machine Learning interview prep guide
  ☆418Updated 5 years ago
• sscardapane / reprodl2021
  Host repository for the "Reproducible Deep Learning" PhD course
  ☆408Updated 3 years ago
• rasbt / stat451-machine-learning-fs20
  STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)
  ☆450Updated last year
• Nyandwi / ModernConvNets
  Revisions and implementations of modern Convolutional Neural Networks architectures in TensorFlow and Keras
  ☆358Updated 3 years ago
• the-full-stack / course-gitbook
  Full Stack Deep Learning Online Course
  ☆910Updated 4 years ago
• empathy87 / The-Elements-of-Statistical-Learning-Python-Notebooks
  A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book
  ☆908Updated 4 years ago
• mrdbourke / cs329s-ml-deployment-tutorial
  Code and files to go along with CS329s machine learning model deployment tutorial.
  ☆617Updated 3 years ago
• dirty-data-science / python
  Tutorial material on machine learning with dirty data in Python
  ☆61Updated last year
• jmugan / modern_practical_nlp
  This course covers how you can use NLP to do stuff.
  ☆267Updated 5 years ago
• dair-ai / pytorch_notebooks
  🔥 A collection of PyTorch notebooks for learning and practicing deep learning
  ☆591Updated 3 years ago