Alternatives and similar repositories for awesome-fastai

Users that are interested in awesome-fastai are comparing it to the libraries listed below

• walkwithfastai / walkwithfastai.github.io
  Host for https://walkwithfastai.com
  ☆146Updated last year
• init27 / Deep-Learning-Book-Supplementary-Materials
  Supplementary Materials for the Deep Learning Book by Ian Goodfellow et al
  ☆53Updated 2 years ago
• AakashKumarNain / TF_JAX_tutorials
  All about the fundamental blocks of TF and JAX!
  ☆276Updated 3 years ago
• arnabbiswas1 / kaggle_pipeline_tps_aug_22
  Kaggle Pipeline for tabular data competitions
  ☆205Updated last year
• Machine-Learning-Tokyo / __init__
  ☆136Updated 3 years ago
• wandb / Groundbreaking-Papers
  ML Research paper summaries, annotated papers and implementation walkthroughs
  ☆114Updated 3 years ago
• sscardapane / reprodl2021
  Host repository for the "Reproducible Deep Learning" PhD course
  ☆407Updated 3 years ago
• parrt / msds621
  Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning
  ☆347Updated 3 years ago
• Lightning-AI / engineering-class
  Lightning Bits: Engineering for Researchers repo
  ☆132Updated 3 years ago
• rasbt / stat451-machine-learning-fs21
  ☆151Updated 3 years ago
• muellerzr / Walk-with-fastai-revisited
  Source notebook code for the course, stripped of all information. Please consider puchasing the course at https://store.walkwithfastai.co…
  ☆36Updated last year
• vopani / datatableton
  100 exercises to learn Python Datatable
  ☆270Updated 3 years ago
• wandb / awesome-dl-projects
  This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.
  ☆344Updated 3 years ago
• warner-benjamin / commented-transformers
  Highly commented implementations of Transformers in PyTorch
  ☆139Updated 2 years ago
• eugeneyan / applyingml
  📌 Papers, guides, and mentor interviews on applying machine learning for ApplyingML.com—the ghost knowledge of machine learning.
  ☆202Updated last year
• deep-learning-indaba / indaba-pracs-2022
  Notebooks for the Practicals at the Deep Learning Indaba 2022.
  ☆178Updated last year
• vopani / fortyone
  Machine Learning begins with Human Learning
  ☆108Updated 4 years ago
• brandokoch / attention-is-all-you-need-paper
  Original transformer paper: Implementation of Vaswani, Ashish, et al. "Attention is all you need." Advances in neural information process…
  ☆241Updated last year
• fastai / fastkaggle
  Kaggling for fast kagglers!
  ☆54Updated 2 years ago
• nestordemeure / fastai-extensions-repository
  A list of extensions for the fastai library.
  ☆160Updated 4 years ago
• aniketmaurya / chitra
  A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.
  ☆230Updated last month
• backpropagation64 / mle-interview-questions
  Interview Questions and Answers for Machine Learning Engineer role
  ☆116Updated 6 months ago
• radekosmulski / ask_ai
  ☆95Updated 2 years ago
• shreyashankar / toy-ml-pipeline
  Toy example of an applied ML pipeline for me to experiment with MLOps tools.
  ☆209Updated 3 years ago
• The-AI-Summer / learn-deep-learning
  AI Summer's complete catalog of articles
  ☆112Updated 3 years ago
• haltakov / suboptimal
  Seriously Unnecessary Baffling Obscure Perplexing Terms In MAchine Learning
  ☆193Updated 4 years ago
• gradsflow / gradsflow-automl
  An open-source AutoML Library based on PyTorch
  ☆307Updated last month
• hamelsmu / wandb-cicd
  ☆48Updated last year
• michaeltremeer / queensland-ai-fastai-course-resources
  Resources (including recap slides and notebooks) to support the Queensland AI & Queensland AI Hub community fast.ai course.
  ☆34Updated 4 years ago
• ohmeow / blurr
  A library that integrates huggingface transformers with the world of fastai, giving fastai devs everything they need to train, evaluate, …
  ☆297Updated last year