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Greatest papers with code

ShapeNet: An Information-Rich 3D Model Repository

9 Dec 2015tensorflow/models

We present ShapeNet: a richly-annotated, large-scale repository of shapes represented by 3D CAD models of objects.

DATA VISUALIZATION

Adversarial Autoencoders

18 Nov 2015eriklindernoren/PyTorch-GAN

In this paper, we propose the "adversarial autoencoder" (AAE), which is a probabilistic autoencoder that uses the recently proposed generative adversarial networks (GAN) to perform variational inference by matching the aggregated posterior of the hidden code vector of the autoencoder with an arbitrary prior distribution.

DATA VISUALIZATION DIMENSIONALITY REDUCTION UNSUPERVISED IMAGE CLASSIFICATION UNSUPERVISED MNIST VARIATIONAL INFERENCE

VINE: An Open Source Interactive Data Visualization Tool for Neuroevolution

3 May 2018uber-common/deep-neuroevolution

Recent advances in deep neuroevolution have demonstrated that evolutionary algorithms, such as evolution strategies (ES) and genetic algorithms (GA), can scale to train deep neural networks to solve difficult reinforcement learning (RL) problems.

DATA VISUALIZATION

Torchbearer: A Model Fitting Library for PyTorch

10 Sep 2018ecs-vlc/torchbearer

We introduce torchbearer, a model fitting library for pytorch aimed at researchers working on deep learning or differentiable programming.

DATA VISUALIZATION

jMetalPy: a Python Framework for Multi-Objective Optimization with Metaheuristics

7 Mar 2019jMetal/jMetalPy

This paper describes jMetalPy, an object-oriented Python-based framework for multi-objective optimization with metaheuristic techniques.

DATA VISUALIZATION

Data2Vis: Automatic Generation of Data Visualizations Using Sequence to Sequence Recurrent Neural Networks

9 Apr 2018victordibia/data2vis

Rapidly creating effective visualizations using expressive grammars is challenging for users who have limited time and limited skills in statistics and data visualization.

DATA VISUALIZATION

A high-bias, low-variance introduction to Machine Learning for physicists

23 Mar 2018drckf/mlreview_notebooks

The purpose of this review is to provide an introduction to the core concepts and tools of machine learning in a manner easily understood and intuitive to physicists.

DATA VISUALIZATION

VizML: A Machine Learning Approach to Visualization Recommendation

14 Aug 2018mitmedialab/vizml

Data visualization should be accessible for all analysts with data, not just the few with technical expertise.

DATA VISUALIZATION RECOMMENDATION SYSTEMS

Doubly Stochastic Neighbor Embedding on Spheres

7 Sep 2016yaolubrain/DOSNES

To solve this problem, we introduce a fast normalization method and normalize the similarity matrix to be doubly stochastic such that all the data points have equal total similarities.

DATA VISUALIZATION

Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data Visualization

8 Dec 2020YingfanWang/PaCMAP

In this work, our main goal is to understand what aspects of DR methods are important for preserving both local and global structure: it is difficult to design a better method without a true understanding of the choices we make in our algorithms and their empirical impact on the lower-dimensional embeddings they produce.

DATA VISUALIZATION DIMENSIONALITY REDUCTION