m1 - wafrat

m1

A collection of 5 posts

Using TensorFlow addons on Mac with M1

These days I am building an image classifier using an unbalanced dataset. So instead of Accuracy, I am more interested in viewing Precision and Recall, or the F1 score. The F1 score metric is implemented by https://www.tensorflow.org/addons/api_docs/python/tfa/metrics/F1Score. So I went

Homebrew on Mac with M1

Recently I needed to install graphviz. On their official site, they say one way is to use Homebrew. Workaround: use Rosetta 2 Here's what I got: % brew install graphviz Error: Cannot install in Homebrew on ARM processor in Intel default prefix (/usr/local)! Please create a new installation in /opt/

Installing scikit-learn, panda, scipy, numpy on a Mac with M1

Before installing scikit-learn, you should install its dependencies. Installing Pandas Pandas installs fine with pip install pandas. However, when I tried to import it in my Jupyter Lab notebook, it crashed with this error: ValueError Traceback (most recent call last) in ----> 1 import pandas as pd ~/miniforge3/envs/tf25/

Installing TensorFlow 2.5 and Jupyter Lab on Mac with M1

Last month, I finally painstakingly installed TensorFlow 2.4 and Jupyter Lab on my Mac with M1 (see the blog post). It worked nicely: 10 times faster than Colab, but also had a few issues like working only with Python 3.8, having to manually downgrade some packages such as

machine learning

Installing TensorFlow 2.4 and JupyterLab on Mac with M1 (outdated)

This post is now outdated since Apple released TensorFlow 2.5 optimized for Macs, which is twice as fast as TensorFlow 2.4 was on my M1. See how to install it at http://blog.wafrat.com/installing-tensorflow-2-5-and-jupyter-lab/. A few weeks ago (see Getting started with ML: Colab or self-hosted