Conditional Gradients For The Approximately Vanishing Ideal

Last update: May 25, 2022

Related tags

Overview

Conditional Gradients For The Approximately Vanishing Ideal

Code for the paper:

Wirth, E., and Pokutta, S. (2022). Conditional Gradients for the Approximately Vanishing Ideal. To Appear in Proceedings of AISTATS.

Installation guide

Download the repository and store it in your preferred location, say ~/tmp.

Open your terminal and navigate to ~/tmp.

Run the command:

$ conda env create --file environment.yml

This will create the conda environment approximately_vanishing_ideal.

Activate the conda environment with:

$ conda activate approximately_vanishing_ideal

In the file global_.py, change the value of gpu_memory_ to the maximum amount of gpu you wish to use to perform computations.

Run the tests:

>>> python3 -m unittest

No errors should occur.

Execute the experiments:

>>> python3 experiments.py

This will create a folder named data_frames, which continues subfolders containing the experiment results.

The experiments can be displayed as latex_code by executing:

>>> experiments_results.py

Code for paper "Document-Level Argument Extraction by Conditional Generation". NAACL 21'

Argument Extraction by Generation Code for paper "Document-Level Argument Extraction by Conditional Generation". NAACL 21' Dependencies pytorch=1.6 tr

87 Dec 26, 2022

VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech

VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech Jaehyeon Kim, Jungil Kong, and Juhee Son In our rece

1.7k Jan 8, 2023

A denoising diffusion probabilistic model (DDPM) tailored for conditional generation of protein distograms

Denoising Diffusion Probabilistic Model for Proteins Implementation of Denoising Diffusion Probabilistic Model in Pytorch. It is a new approach to gen

108 Nov 23, 2022

This repository holds the code for the paper "Deep Conditional Gaussian Mixture Model forConstrained Clustering".

Deep Conditional Gaussian Mixture Model for Constrained Clustering. This repository holds the code for the paper Deep Conditional Gaussian Mixture Mod

17 Oct 30, 2022

Official implementation of the paper DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows

DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows Official implementation of the paper DeFlow: Learning Complex Im

86 Nov 16, 2022

CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution

CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution This is the official implementation code of the paper "CondLaneNe

311 Dec 30, 2022

Cancer metastasis detection with neural conditional random field (NCRF)

NCRF Prerequisites Data Whole slide images Annotations Patch images Model Training Testing Tissue mask Probability map Tumor localization FROC evaluat

731 Jan 1, 2023

Synthesizing and manipulating 2048x1024 images with conditional GANs

pix2pixHD Project | Youtube | Paper Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic image-to-image translatio

6k Dec 27, 2022

Official implementation of the ICCV 2021 paper "Conditional DETR for Fast Training Convergence".

The DETR approach applies the transformer encoder and decoder architecture to object detection and achieves promising performance. In this paper, we handle the critical issue, slow training convergence, and present a conditional cross-attention mechanism for fast DETR training. Our approach is motivated by that the cross-attention in DETR relies highly on the content embeddings and that the spatial embeddings make minor contributions, increasing the need for high-quality content embeddings and thus increasing the training difficulty.

281 Dec 30, 2022

Conditional Gradients For The Approximately Vanishing Ideal

Related tags

Overview

Conditional Gradients For The Approximately Vanishing Ideal

Installation guide

You might also like...

Code for paper "Document-Level Argument Extraction by Conditional Generation". NAACL 21'

VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech

A denoising diffusion probabilistic model (DDPM) tailored for conditional generation of protein distograms

This repository holds the code for the paper "Deep Conditional Gaussian Mixture Model forConstrained Clustering".

Official implementation of the paper DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows

CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution

Cancer metastasis detection with neural conditional random field (NCRF)

Synthesizing and manipulating 2048x1024 images with conditional GANs

Official implementation of the ICCV 2021 paper "Conditional DETR for Fast Training Convergence".

Releases(v2.0.0)

v2.0.0(Sep 12, 2022)

v1.0.0(Jan 31, 2022)

Owner

IOL Lab @ ZIB

Code for paper "Vocabulary Learning via Optimal Transport for Neural Machine Translation"

Semi-supervised Semantic Segmentation with Directional Context-aware Consistency (CVPR 2021)

Official pytorch code for SSAT: A Symmetric Semantic-Aware Transformer Network for Makeup Transfer and Removal

A high-level Python library for Quantum Natural Language Processing

On Evaluation Metrics for Graph Generative Models

DiffWave is a fast, high-quality neural vocoder and waveform synthesizer.

PyoMyo - Python Opensource Myo library

SysWhispers Shellcode Loader

PyTorch implementations of the paper: "Learning Independent Instance Maps for Crowd Localization"

We present a regularized self-labeling approach to improve the generalization and robustness properties of fine-tuning.

Equivariant Imaging: Learning Beyond the Range Space

This is a collection of simple PyTorch implementations of neural networks and related algorithms. These implementations are documented with explanations,

An official PyTorch implementation of the TKDE paper "Self-Supervised Graph Representation Learning via Topology Transformations".

IEEE-CIS Technical Challenge on Predict+Optimize for Renewable Energy Scheduling

Implements pytorch code for the Accelerated SGD algorithm.

An official implementation of MobileStyleGAN in PyTorch

A sketch extractor for anime/illustration.

An Official Repo of CVPR '20 "MSeg: A Composite Dataset for Multi-Domain Segmentation"

FocusFace: Multi-task Contrastive Learning for Masked Face Recognition

Repository For Programmers Seeking a platform to show their skills