A latent text-to-image diffusion model

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

Learn how to design, develop, deploy and iterate on production-grade ML applications.

🔊 Text-Prompted Generative Audio Model

A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

🤖 💬 Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)

Code samples used on cloud.google.com

Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)

Latent Text-to-Image Diffusion

Text recognition (optical character recognition) with deep learning methods, ICCV 2019

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

Image Captcha Solving Using TensorFlow and CNN Model. Accuracy 90%+

Tutorials for DataCamp (www.datacamp.com)

Keras version of Realtime Multi-Person Pose Estimation project

Python implementation of KNN and DTW classification algorithm

Convolutional Neural Network for Human Activity Recognition in Tensorflow

Solve captcha without manually labeling a training set

Machine Learning Practise