Alternatives and similar repositories for fundamentals-of-deep-learning

Users that are interested in fundamentals-of-deep-learning are comparing it to the libraries listed below

• parrt / msds621
  Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning
  ☆348Updated 3 years ago
• dair-ai / notebooks
  🔬 Sharing your data science notebooks with the community has never been this easy.
  ☆38Updated 2 years ago
• parrt / msds689
  Course syllabus, notes, projects for USF's MSDS689
  ☆62Updated last year
• armsp / covidviz
  Professional visualizations of COVID-19, emulating NYT, The Guardian, Washington Post, The Economist & others, using only Python & Altair…
  ☆23Updated 2 years ago
• DSML-book / Programs
  Programs
  ☆109Updated 6 months ago
• probml / bandits
  Bayesian Bandits
  ☆68Updated last year
• PacktPublishing / Deep-Learning-with-fastai-Cookbook
  Deep Learning with fastai Cookbook, published by Packt
  ☆59Updated 3 years ago
• dair-ai / keep-learning-ml
  A club to keep learning about ML
  ☆91Updated 3 years ago
• Machine-Learning-Tokyo / MLT_starterkit
  ☆92Updated 4 years ago
• rasbt / stat451-machine-learning-fs21
  ☆149Updated 3 years ago
• amueller / aml
  Applied Machine Learning with Python
  ☆79Updated last year
• tmabraham / awesome-fastai
  A curated list of awesome fastai projects/blog posts/tutorials/etc.
  ☆170Updated 3 years ago
• parrt / msds593
  MSDS593 -- Exploratory data analysis (EDA) at the University of San Francisco
  ☆25Updated 3 years ago
• sscardapane / neural-networks-for-data-science
  Notebooks for a course
  ☆38Updated 5 years ago
• radekosmulski / nvt_op_examples
  ☆27Updated 2 years ago
• amueller / COMS4995-s20
  COMS W4995 Applied Machine Learning - Spring 20
  ☆245Updated 3 years ago
• dair-ai / nlp_overview
  📘Overview of Modern Deep Learning Techniques Applied to Natural Language Processing
  ☆48Updated 5 years ago
• shreyashankar / toy-ml-pipeline
  Toy example of an applied ML pipeline for me to experiment with MLOps tools.
  ☆208Updated 3 years ago
• The-AI-Summer / Introduction-to-Deep-Learning-and-Neural-Networks-Course
  Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io
  ☆43Updated 3 years ago
• cfgranda / math-tools-nyu
  DS-GA 1013 Mathematical Tools for Data Science
  ☆52Updated 4 years ago
• Machine-Learning-Tokyo / MLT_Talks
  Slides, videos and other resources from MLT Talks
  ☆109Updated 4 years ago
• brianspiering / nlp-course
  An introduction to Natural Language Processing (NLP) course
  ☆40Updated 3 years ago
• ritchie46 / vanilla-machine-learning
  vanilla machine learning
  ☆109Updated last year
• Machine-Learning-Tokyo / __init__
  ☆138Updated 2 years ago
• minitorch / minitorch.github.io
  Docs
  ☆143Updated 5 months ago
• ai-fast-track / fastai-visual-guide
  Notebooks for Fastai Viusal Guide
  ☆25Updated 2 years ago
• theairbend3r / how-to-train-your-neural-net
  Deep learning research implemented on notebooks using PyTorch.
  ☆64Updated 3 years ago
• fastai / ethics.fast.ai
  The fast.ai data ethics course
  ☆16Updated 2 years ago
• sscardapane / reprodl2021
  Host repository for the "Reproducible Deep Learning" PhD course
  ☆406Updated 3 years ago
• muellerzr / fastinference
  A collection of inference modules for fastai2
  ☆90Updated 2 years ago