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Dadabots
- Boston, MA
- http://dadabots.com
- @dadabots
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Tensors and Dynamic neural networks in Python with strong GPU acceleration
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
Deezer source separation library including pretrained models.
Magenta: Music and Art Generation with Machine Intelligence
This repository contains the codes of "A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild", published at ACM Multimedia 2020. For HD commercial model, please try out Sync Labs
Code for the paper "Jukebox: A Generative Model for Music"
A TensorFlow implementation of DeepMind's WaveNet paper
Background Matting: The World is Your Green Screen
Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference
Sequence modeling benchmarks and temporal convolutional networks
Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnoun
😝 TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, French, Korean, Chinese, German and Easy to adapt for other languages)
Deep Convolutional Generative Adversarial Networks
Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
The Project is real time application in opencv using first order model
TensorFlow (Python API) implementation of Neural Style
Deep learning driven jazz generation using Keras & Theano!
aeneas is a Python/C library and a set of tools to automagically synchronize audio and text (aka forced alignment)
A Flow-based Generative Network for Speech Synthesis
DeepMind's Tacotron-2 Tensorflow implementation
PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models
Speedy Wavenet generation using dynamic programming ⚡