Category: Artificial Intelligence

[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.

[Finding the Compute Compatibility Score for your GPU]

[ImageNet] is an image database organized according to the WordNet hierarchy (currently only the nouns), in which each node of the hierarchy is depicted by hundreds and thousands of images. The project has been instrumental in advancing computer vision and deep learning research. The data is available for free to researchers for non-commercial use.

[TensorFlow Hub] is a repository of trained machine learning models ready for fine-tuning and deployable anywhere. Reuse trained models like BERT and Faster R-CNN with just a few lines of code.

The [tfhub.dev] portal  lets you search and discover hundreds of trained, ready-to-deploy machine learning models in one place.

[app.wombo.art]

[MediaPipe Selfie Segmentation]

[WebDemo]

This is the best tutorial on using face landmark detection that I’ve seen so far.

[Github Source Repro]

[Download and install Yarn]

Build the site with:

npm run build

[Alex Qi] Eye contact (coming soon): Simulates eye contact by estimating and aligning gaze with the camera.

[Maxine Portal]

[Github Repository]

[Nvidia Broadcast App]

Eye tracking to release Q2/Q3. [Maxine Early Access]

Look at:

Face landmark tracking
Face tracking Sample

[Descript] automatically transcribes and overdubs your audio recordings for quick editing and removing mistakes from your presentations.

[Feature Request] to add Web Cam support.