Alternatives and similar repositories for education-toolkit:

Users that are interested in education-toolkit are comparing it to the libraries listed below

• huggingface / workshops
  Materials for workshops on the Hugging Face ecosystem
  ☆150Updated last year
• neubig / nlp-from-scratch-assignment-2022
  An assignment for CMU CS11-711 Advanced NLP, building NLP systems from scratch
  ☆171Updated 2 years ago
• philschmid / huggingface-sagemaker-workshop-series
  Enterprise Scale NLP with Hugging Face & SageMaker Workshop series
  ☆235Updated 2 years ago
• mrm8488 / shared_colab_notebooks
  A Repo to store the Google Colaboratory Notebooks that I have created and shared
  ☆274Updated 6 months ago
• RasaHQ / algorithm-whiteboard-resources
  this is where we share notebooks/projects used in your youtube channel
  ☆147Updated 3 years ago
• wandb / edu
  Educational materials on deep learning by Weights & Biases
  ☆587Updated 2 weeks ago
• tmabraham / awesome-fastai
  A curated list of awesome fastai projects/blog posts/tutorials/etc.
  ☆166Updated 3 years ago
• sscardapane / reprodl2021
  Host repository for the "Reproducible Deep Learning" PhD course
  ☆406Updated 2 years ago
• ma7dev / deep-learning-project-template
  A project template where PyTorch Lightning, Pydantic, and more! being used for training MNIST as an example.
  ☆27Updated 2 years ago
• visenger / Awesome-ML-Model-Governance
  This repository provides a curated list of references about Machine Learning Model Governance, Ethics, and Responsible AI.
  ☆103Updated 9 months ago
• huggingface / community-events
  Place where folks can contribute to 🤗 community events
  ☆408Updated last year
• eugeneyan / applyingml
  📌 Papers, guides, and mentor interviews on applying machine learning for ApplyingML.com—the ghost knowledge of machine learning.
  ☆197Updated 7 months ago
• the-full-stack / fsdl-text-recognizer-2022-labs
  Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-…
  ☆460Updated last year
• gmihaila / ml_things
  This is where I put things I find useful that speed up my work with Machine Learning. Ever looked in your old projects to reuse those coo…
  ☆257Updated 2 years ago
• wandb / Groundbreaking-Papers
  ML Research paper summaries, annotated papers and implementation walkthroughs
  ☆114Updated 2 years ago
• shreyashankar / toy-ml-pipeline
  Toy example of an applied ML pipeline for me to experiment with MLOps tools.
  ☆207Updated 3 years ago
• nazneenrajani / interpreting-ml-models-course
  Course for Interpreting ML Models
  ☆52Updated last year
• deep-learning-indaba / indaba-pracs-2022
  Notebooks for the Practicals at the Deep Learning Indaba 2022.
  ☆175Updated 9 months ago
• PacktPublishing / Applied-Machine-Learning-Explainability-Techniques
  Applied Machine Learning Explainability Techniques, published by Packt
  ☆240Updated last year
• Lightning-AI / engineering-class
  Lightning Bits: Engineering for Researchers repo
  ☆131Updated 2 years ago
• javismiles / X-Ray-Transformer
  Infographic about the inner computations of a transformer model, training and inference
  ☆80Updated 9 months ago
• Machine-Learning-Tokyo / __init__
  ☆136Updated 2 years ago
• ohmeow / blurr
  A library that integrates huggingface transformers with the world of fastai, giving fastai devs everything they need to train, evaluate, …
  ☆289Updated 7 months ago
• nateraw / huggingface-datasets-converter
  Scripts to convert datasets from various sources to Hugging Face Datasets.
  ☆58Updated 2 years ago
• backpropagation64 / mle-interview-questions
  Interview Questions and Answers for Machine Learning Engineer role
  ☆118Updated 2 years ago
• Lightning-AI / dl-fundamentals
  Deep Learning Fundamentals -- Code material and exercises
  ☆364Updated 11 months ago
• The-AI-Summer / learn-deep-learning
  AI Summer's complete catalog of articles
  ☆109Updated 3 years ago
• huggingface / hub-docs
  Docs of the Hugging Face Hub
  ☆326Updated this week
• imohitmayank / a_lazy_data_science_guide
  A guide book on data science for busy and equally lazy Data Scientists 😄
  ☆127Updated 3 months ago
• kennethleungty / MLOps-Specialization-Notes
  Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng
  ☆356Updated last year