Stars
Automagical summarization for webpages and articles. 🔥
Tensorflow implementation of the SRGAN algorithm for single image super-resolution
nshepperd / gpt-2
Forked from openai/gpt-2Code for the paper "Language Models are Unsupervised Multitask Learners"
✍🏻 gpt2-client: Easy-to-use TensorFlow Wrapper for GPT-2 117M, 345M, 774M, and 1.5B Transformer Models 🤖 📝
State-of-the-Art Text Embeddings
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"
Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/
Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
Magenta: Music and Art Generation with Machine Intelligence
Speech Enhancement Generative Adversarial Network in TensorFlow
An Tensorflow Re-Implement of CVPR 2019 "Object-centric Auto-Encoders and Dummy Anomalies for Abnormal Event Detection in Video"
A clean and lucid implementation of cycleGAN using PyTorch
Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning
An adversarial example library for constructing attacks, building defenses, and benchmarking both
HandsOn-Unsupervised-Learning-with-Python, Published by Packt
it's a small library for running trained Keras 2 models from a native C++ code.
Deep Learning introduction and its application in various fields
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis