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tonku321/ml

πŸ§ πŸ€–πŸ’₯

Jupyter Notebook

9

132 commits

updated Nov 16, 2024

See the code

README


conda activate ./env

python <file>
python -m pip install <package>
conda install <library>

conda deactivate
Setup
  1. Download Miniforge3 (Conda installer) for macOS arm64 chips (M1, M1 Pro, M1 Max).
  2. Install Miniforge3 into home directory.
chmod +x ~/Downloads/Miniforge3-MacOSX-arm64.sh
sh ~/Downloads/Miniforge3-MacOSX-arm64.sh
source ~/miniforge3/bin/activate
  1. Restart terminal.
  2. Make and activate Conda environment. Note: Python 3.8 is the most stable for using the following setup.
conda create --prefix ./env python=3.8
conda activate ./env
  1. Install must have packages.
conda install pytorch-nightly::pytorch torchvision torchaudio -c pytorch-nightly
conda install pandas numpy matplotlib scikit-learn notebook
  • https://colab.research.google.com/github/ - open any notebook from github in colab select GPU and train faster
  • jupyter nbconvert --clear-output --inplace notebook.ipynb - clear notebook output in all cells

236611118-06eccf2f-acd0-4428-927a-13b9ba4ff586

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tonku321/ml

πŸ§ πŸ€–πŸ’₯

Jupyter Notebook

9

132 commits

updated Nov 16, 2024

See the code

README


conda activate ./env

python <file>
python -m pip install <package>
conda install <library>

conda deactivate
Setup
  1. Download Miniforge3 (Conda installer) for macOS arm64 chips (M1, M1 Pro, M1 Max).
  2. Install Miniforge3 into home directory.
chmod +x ~/Downloads/Miniforge3-MacOSX-arm64.sh
sh ~/Downloads/Miniforge3-MacOSX-arm64.sh
source ~/miniforge3/bin/activate
  1. Restart terminal.
  2. Make and activate Conda environment. Note: Python 3.8 is the most stable for using the following setup.
conda create --prefix ./env python=3.8
conda activate ./env
  1. Install must have packages.
conda install pytorch-nightly::pytorch torchvision torchaudio -c pytorch-nightly
conda install pandas numpy matplotlib scikit-learn notebook
  • https://colab.research.google.com/github/ - open any notebook from github in colab select GPU and train faster
  • jupyter nbconvert --clear-output --inplace notebook.ipynb - clear notebook output in all cells

236611118-06eccf2f-acd0-4428-927a-13b9ba4ff586

Similar repos

rangapv/ML

Machine Learning repo with all the nice packages

0

Atcold/NYU-DLSP20

NYU Deep Learning Spring 2020

6,811

Pierrolo/rubicon-ds-take-home

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DesarguesC/edit-gpt

2

qgyd2021/Transformers

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DjangoPeng/LLM-quickstart

Quick Start for Large Language Models (Theoretical Learning and Practical Fine-tuning)…

1,067

uttam-in/PyTorchSamples

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dvgodoy/PyTorchStepByStep

Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"

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