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A latent text-to-image diffusion model
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
🔊 Text-Prompted Generative Audio Model
Google Research
Course Files for Complete Python 3 Bootcamp Course on Udemy
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
The fastai book, published as Jupyter Notebooks
Learn OpenCV : C++ and Python Examples
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
📡 Simple and ready-to-use tutorials for TensorFlow
This repository contains the source code for the paper First Order Motion Model for Image Animation
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
A multi-voice TTS system trained with an emphasis on quality
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Best Practices, code samples, and documentation for Computer Vision.
🤖 💬 Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
A collection of pre-trained, state-of-the-art models in the ONNX format
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
Code samples used on cloud.google.com
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Code for Tensorflow Machine Learning Cookbook
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
Tacotron 2 - PyTorch implementation with faster-than-realtime inference
