Examples built with TensorFlow.js

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

Low-code framework for building custom LLMs, neural networks, and other AI models

Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

On-device wake word detection powered by deep learning

R-script for generating canonical diagrams of distributions to be used to describe Bayesian hierarchical models.

Tutorials for creating and using ONNX models

Turi Create simplifies the development of custom machine learning models.

An iOS app in assembly

Largest list of models for Core ML (for iOS 11+)

Image augmentation for machine learning experiments.

Open standard for machine learning interoperability

💩 CDN static asset generation for emoji

Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Dynamically Changing models in CoreML for iOS

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

TensorFlow (Python API) implementation of Neural Style

A time based / event series interactive visualization using d3.js

Embedded Learning Library

Using a recurrent neural network to teach the iPhone to play drums

One-shot Learning with Memory-Augmented Neural Networks

Models and examples built with TensorFlow

Magenta: Music and Art Generation with Machine Intelligence

TensorFlow Tutorials with YouTube Videos

RNN-based generative models for speech.

Speedy Wavenet generation using dynamic programming ⚡

DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

🎙Speech recognition using the tensorflow deep learning framework, sequence-to-sequence neural networks

Flexible and fast neural network library (feed-forward, RNN, GRU, LSTM, etc)