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MacWhisper has been updated to version 8 with some new features, including a video player. Multiple apps use the Whisper model to perform transcription. I bought a license for MacWhisper early, and I’ve been using it a lot ever since. One example: We use a Notion database to manage all the MacSparky content (this blog, the... Continue reading →

MindMac let you use ChatGPT efficient on macOS

AI powered voice to text for macOS

An open source approach to locally record and enable searching everything you view on your Apple Silicon. - jasonjmcghee/rem: An open source approach to locally record and enable searching everythi...

archived 5 Nov 2023 01:42:48 UTC

Press a hotkey to chat anywhere on your Mac. No subscription fees. No logins. Your own API key.

The search engine for your life. Find anything you've seen, said, or heard.

MLX: An array framework for Apple silicon. Contribute to ml-explore/mlx development by creating an account on GitHub.

Run Latent Consistency Models on your Mac. Contribute to replicate/latent-consistency-model development by creating an account on GitHub.

How to run a latent consistency model on your M1 or M2 Mac

Contribute to danielgross/localpilot development by creating an account on GitHub.

AI Chat Browser: Fast, Full webapp access to ChatGPT / Claude / Bard / Bing / Llama2! I use this 20 times a day. - GitHub - smol-ai/GodMode: AI Chat Browser: Fast, Full webapp access to ChatGPT / C...

Run Llama-2-13B-chat locally on your M1/M2 Mac with GPU inference. Uses 10GB RAM - llama2-mac-gpu.sh

Prepare your M1, M1 Pro, M1 Max, M1 Ultra or M2 Mac for data science and machine learning with accelerated PyTorch for Mac.

archived 31 Mar 2023 11:16:52 UTC

CogSci 131 (Computational Modeling of Cognition) is one of my favorite classes at Berkeley when I took it with Prof. Tom Griffiths in 2016. Now I’m teaching it in my last semester. Before getting to the fun parts (e.g., implementing recurrent nets and classic RL algorithms like SARSA using vanilla NumPy), one needs to set up the right Python environment. I hope this tutorial can save students some headaches. Option #1: Conda Virtual Environment To avoid nightmares down the line👇, use virtual environments for your local stuff.

You can install PyTorch for GPU support with a Mac M1/M2 using CONDA. It is very important that you install an ARM version of Python. In this video I walk you through all the steps necessary to prepare an Apple Metal Mac for my deep learning course in PyTorch. 0:27 Overview 1:00 Install Miniconda 1:49 Uninstall Anaconda (optional) 3:33 Install Miniconda 5:03 Install Jupyter 5:24 Install PyTorch 7:07 Create Jupyter Kernel Code for This Video: https://github.com/jeffheaton/t81_558_deep_learning/blob/pytorch/install/pytorch-install-aug-2022.ipynb ~~~~~~~~~~~~~~~ COURSE MATERIAL ~~~~~~~~~~~~~~~ 📖 Textbook - coming soon 😸🐙 GitHub - https://github.com/jeffheaton/t81_558_deep_learning/tree/pytorch ▶️ Play List - https://www.youtube.com/playlist?list=PLjy4p-07OYzuy_lHcRW8lPTLPTTOmUpmi 🏫 WUSTL Course Site - https://sites.wustl.edu/jeffheaton/t81-558/ ~~~~~~~~~~~~~~~ CONNECT ~~~~~~~~~~~~~~~ 🖥️ Website: https://www.heatonresearch.com/ 🐦 Twitter - https://twitter.com/jeffheaton 😸🐙 GitHub - https://github.com/jeffheaton 📸 Instagram - https://www.instagram.com/jeffheatondotcom/ 🦾 Discord: https://discord.gg/3bjthYv ▶️ Subscribe: https://www.youtube.com/c/heatonresearch?sub_confirmation=1 ~~~~~~~~~~~~~~ SUPPORT ME 🙏~~~~~~~~~~~~~~ 🅿 Patreon - https://www.patreon.com/jeffheaton 🙏 Other Ways to Support (some free) - https://www.heatonresearch.com/support.html ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ #Python #Tensorflow #Keras

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks - GitHub - jeffheaton/t81_558_deep_learning: Washington University (in St. Louis) Course T81-558: Applicati...

How I run Anaconda and Miniforge side-by-side on my Mac M1 with TensorFlow and Keras.Install Locations* https://developer.apple.com/metal/tensorflow-plugin/*...

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks - t81_558_deep_learning/tensorflow-install-mac-metal-jan-2023.ipynb at master · jeffheaton/t81_558_deep_lea...

Weights & Biases, developer tools for machine learning

In this article from Sebastian Raschka, he reviews Apple's new M1 and M2 GPU and its support for PyTorch, along with some early benchmarks.

Installs OpenAI Gym on MacOS - . GitHub Gist: instantly share code, notes, and snippets.

OpenAI Gym is a toolkit for testing reinforcement learning algorithms. Gym is fun and powerful, but installation can be a challenge. This…

This is not so much an issue as opposed to a 'How To' if you'd like to install this version of Tensorflow in Conda. Prerequisites: You must be on macOS Big Sur If you have a...

I have been able to follow the workarounds to install Apple's special TensorFlow distribution on the M1 Mac Mini. I have also been able to successfully install Open AI's gym on the device. ...