My Machine Learning Notebooks and Experimentation
- see: https://docs.anaconda.com/free/miniconda/
- for mac osx using command line install
mkdir -p ~/miniconda3
curl https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-arm64.sh -o ~/miniconda3/miniconda.sh
bash ~/miniconda3/miniconda.sh -b -u -p ~/miniconda3
rm -rf ~/miniconda3/miniconda.sh
Install Just
- see: https://github.com/casey/just
- for mac osx using homebrew
brew install just
- see: https://git-lfs.github.com/
- for mac osx using homebrew
brew install git-lfs
- clone this repo
git clone [email protected]:mudiarto/ml-notebooks.git
cd ml-notebooks
just
to see all commandsjust conda-init
just env-init
conda activate ml-notebooks
- list all notebooks:
just list
- create/edit notebook:
just edit <notebook-name>
- run notebook as app:
just run <notebook-name>
Collection of links found that maybe useful for learning and reference. Currently not on particular order, will be organized later.
- Dive into Deep Learning
- Deep Learning for Coders with fastai and PyTorch
- https://karpathy.ai/
- https://colah.github.io/
- https://www.3blue1brown.com/
- PyTorch playground
- Grokking PyTorch
- Effective PyTorch
- The Python Magic Behind PyTorch
- PyTorch StyleGuide
- Pytorch Coding Conventions
- Fine Tuning etc
- PyTorch Beginner - comment in chinese
- PyTorch Tutorial - nice commented out pytorch tutorial
- PyTorch Tutorial - another nice tutorial
- PyTorch Dive into Deep Learning - d2l.ai - d2l.ai in pytorch