Unrolled Generative Adversarial Networks

Last update: Dec 06, 2022

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Unrolled Generative Adversarial Networks

Luke Metz, Ben Poole, David Pfau, Jascha Sohl-Dickstein
arxiv:1611.02163

This repo contains an example notebook with a TensorFlow implementation of unrolled GANs on a 2d mixture of Gaussians dataset.

Owner

Ben Poole

GitHub Repository https://arxiv.org/abs/1611.02163

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Unrolled Generative Adversarial Networks

Related tags

Overview

Unrolled Generative Adversarial Networks

Owner

Ben Poole

Adaptive Denoising Training (ADT) for Recommendation.

LLVIP: A Visible-infrared Paired Dataset for Low-light Vision

Code for the head detector (HeadHunter) proposed in our CVPR 2021 paper Tracking Pedestrian Heads in Dense Crowd.

An NLP library with Awesome pre-trained Transformer models and easy-to-use interface, supporting wide-range of NLP tasks from research to industrial applications.

Tools for manipulating UVs in the Blender viewport.

A standard framework for modelling Deep Learning Models for tabular data

CVPR2021 Content-Aware GAN Compression

PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in clustering (CVPR2021)

Code for the paper: Hierarchical Reinforcement Learning With Timed Subgoals, published at NeurIPS 2021

Text-Based Ideal Points

Code for ICML 2021 paper: How could Neural Networks understand Programs?

A set of tools for creating and testing machine learning features, with a scikit-learn compatible API

An extremely simple, intuitive, hardware-friendly, and well-performing network structure for LiDAR semantic segmentation on 2D range image. IROS21

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