Author: tim

[openpilot] is open source software built to improve upon the existing driver assistance in most new cars on the road today.

I started a TensorFlow notebook [TF_ImageScaleUp] to experiment with AI to deblur images.

[High Fidelity Image Generation Using Diffusion Models]

[esrgan-tf2]

[Deep Convolutional Generative Adversarial Network]

Udemy Course – [TensorFlow Developer Certificate in 2022: Zero to Mastery]

[Mr D. Bourke Github Repository]

[colab.research.google.com]

[Daniel Bourke YouTube Channel]

[Course Book Version]

[Seamless textures from a single image: style transfer and SGAN]

[Whisper] is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multi-task model that can perform multilingual speech recognition as well as speech translation and language identification.

[AI model from OpenAI automatically recognizes speech and translates it to English]

[StableDiffusionApp]

[Miniconda Installer]

I commented out the following from requirements.txt:
#torch==1.12.1+cu113
#torchaudio==0.12.1+cu113
#torchvision==0.13.1+cu113

Run the terminal commands from the Conda terminal:
conda install pytorch==1.12.0 torchvision==0.13.0 torchaudio==0.12.0 cudatoolkit=11.3 -c pytorch

py -m pip install –upgrade pip
pip install -r requirements.txt
pip install customtkinter diffusers transformers ftfy

python app.py

[TensorFlow Datasets] (TFDS) provides a collection of ready-to-use datasets for use with TensorFlow, Jax, and other Machine Learning frameworks. It handles downloading and preparing the data deterministically and constructing a tf.data.Dataset (or np.array).

The [TensorFlow Datasets Catalog] has numerous datasets available through the API.