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Type: Organization
Type: Organization
StyleGAN 2 in Tensorflow 2.0
Tensorflow 2.0 based implementation of EDSR, WDSR and SRGAN for single image super-resolution
We provide a PyTorch implementation of the paper Voice Separation with an Unknown Number of Multiple Speakers In which, we present a new method for separating a mixed audio sequence, in which multiple voices speak simultaneously. The new method employs gated neural networks that are trained to separate the voices at multiple processing steps, while maintaining the speaker in each output channel fixed. A different model is trained for every number of possible speakers, and the model with the largest number of speakers is employed to select the actual number of speakers in a given sample. Our method greatly outperforms the current state of the art, which, as we show, is not competitive for more than two speakers.
View synthesis for the public.
DeepMind's Tacotron-2 Tensorflow implementation
Tacotron 2 - PyTorch implementation with faster-than-realtime inference
An open-source big data platform designed and optimized for the Internet of Things (IoT).
The location of various code examples from the ww techblog. https://medium.com/ww-tech-blog
A quick crash course in understanding the essentials of TensorFlow 2 and the integrated Keras API
Implementations of a number of generative models in Tensorflow 2. GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion. Everything is self contained in a jupyter notebook for easy export to colab.
:stuck_out_tongue_closed_eyes: TensorflowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2
The TensorRT Inference Server provides a cloud inferencing solution optimized for NVIDIA GPUs.
Deep Q-learning for playing tetris game
Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"
TextBoxes: A Fast Text Detector with a Single Deep Neural Network
Text Robustness Evaluation Platform
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
Text preprocessing, representation and visualization from zero to hero.
A Framework for Machine Learning on Encrypted Data
Pretrained models for TensorFlow.js
Putting TensorFlow back in PyTorch, back in TensorFlow (differentiable TensorFlow PyTorch adapters).
A comprehensive reference for all topics related to Natural Language Processing
An elegant, flexible, and superfast PyTorch deep Reinforcement Learning platform.
👷 Build images with images
Hello world univariate examples for a variety of time series packages.
Top2Vec learns jointly embedded topic, document and word vectors.
Shape inference for PyTorch (like in Keras) + new SoTA layers!
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.