/FastAI-course

My progress and projects from fastai

Primary LanguageJupyter Notebook

nbviewer Binder

Here's my take on Fast AI Course

Some of the notebooks are not being rendered on github because of being large I suggest opening Notebooks on

  • nbviewer for quick preview.
  • Binder if you wanna play with it

I've worked on self implementation/projects based on the chapters of the book

Chapter wise Notebooks/progression

  1. Intro to DL, High Level Training: Questionnaire ✅

    • Notebook /fastbook-solved/01-fastaiintro.ipynb
    • Project: Mandarin vs Japanese Identifier

  2. Deployment: Questionnaire ✅

    • Notebook /fastbook-solved/02_Production.ipynb
    • Project Pokemon Classifier /self-implementation/03-pokemon-classifier

  3. Under the hood-Digit Classifier: Questionnaire ✅

    • Notebook /fastbook-solved/03_NN_MNIST.ipynb
    • INPROGRESS Project /self-implementation/04-MulticlassMNISTClassifier.ipynb

  4. Collaborative Filtering:

    • Notebook /fastbook-solved/07-collaborative-filtering-movielens-recommendation.ipynb

  5. Tabular Modelling

    • Notebook One-R,Decision Trees, Random Forest /fastbook-solved/06_One-R_Decision-trees_Random-forests.ipynb
    • Notebook Using FastAI Framework /fastbook-solved/Working-with-framework-tabular-analysis.ipynb
    • Project /self-implementation/05-my-first-pytorch-RentPrediction/my-first-pytorch-RentPrediction.ipynb

  6. NLP Deep Dive - RNN Questionnaire ✅

    • Notebook
    • Project Sentimental Analysis (Emotion Classifier) /self-implementation/06-nlp-emotion-classifier.ipynb

  7. CNN

    • Notebook /fastbook-solved/ch13_CNN.ipynb