Showing 361-380 of 528 projects
LiteRT is Google's on-device framework for high-performance ML & GenAI deployment on edge platforms.
A Python library for single image super-resolution using EDSR, WDSR, and SRGAN models.
A JavaScript-based adblocker for live radio streams and podcasts using machine learning
Google Deep Learning Notes - a comprehensive tutorial on TensorFlow for machine learning and deep learning.
Implementation of various generative adversarial network (GAN) models in popular deep learning frameworks
A deep learning and neural machine translation library built with TensorFlow for sequence learning tasks.
A free MOOC course on creative applications of deep learning with TensorFlow for developers.
A machine learning platform and recommendation engine built on Kubernetes for deployment on cloud platforms.
A collection of Convolutional Neural Network (CNN) models for EEG signal classification using Keras and Tensorflow
This TensorFlow code implements a curiosity-driven exploration algorithm for deep reinforcement learning.
The official code repository for the second edition of the book Generative Deep Learning, covering AI models and techniques.
A Chinese Named Entity Recognition (NER) library built with PyTorch and TensorFlow
A pix2pix demo that learns from facial landmarks and translates this into a face, useful for AI-powered face generation.
A collaboration workspace for Machine Learning, supporting popular ML frameworks and enabling reproducible workflows.
A simple baseline for 3D human pose estimation using TensorFlow, presented at ICCV 2017.
A deep learning toolkit for medical image analysis, supporting a variety of neural network models and medical imaging tasks.
A scalable and efficient object detection library implemented in Keras and TensorFlow for vibe coders.
A simple Tensorflow-based chatbot demo for developers interested in building conversational AI.
Example Android app demonstrating how to use TensorFlow for machine learning on Android devices.
A curated list of best AI resources for developers, including tutorials, libraries, and tools.
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