231 Python Latent-representations Libraries

To automate the generation and validation tests of COSE/CBOR Codes and it's base45/2D Code representations

To automate the generation and validation tests of COSE/CBOR Codes and it's base45/2D Code representations, a lot of data has to be collected to ensure the variance of the tests. This respository was established to collect a lot of different test data and related test cases of different member states in a standardized manner. Each member state can generate a folder in this section.

160 Jul 25, 2022

PyTorch implementation of: Michieli U. and Zanuttigh P., "Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations", CVPR 2021.

Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations This is the official PyTorch implementation

Multimedia Technology and Telecommunication Lab

42 Nov 9, 2022

Disentangled Face Attribute Editing via Instance-Aware Latent Space Search, accepted by IJCAI 2021.

Instance-Aware Latent-Space Search This is a PyTorch implementation of the following paper: Disentangled Face Attribute Editing via Instance-Aware Lat

67 Dec 21, 2022

Conformer: Local Features Coupling Global Representations for Visual Recognition

Conformer: Local Features Coupling Global Representations for Visual Recognition (arxiv) This repository is built upon DeiT and timm Usage First, inst

378 Jan 8, 2023

Non-Official Pytorch implementation of "Face Identity Disentanglement via Latent Space Mapping" https://arxiv.org/abs/2005.07728 Using StyleGAN2 instead of StyleGAN

Face Identity Disentanglement via Latent Space Mapping - Implement in pytorch with StyleGAN 2 Description Pytorch implementation of the paper Face Ide

58 Dec 24, 2022

Code for Learning Manifold Patch-Based Representations of Man-Made Shapes, in ICLR 2021.

LearningPatches | Webpage | Paper | Video Learning Manifold Patch-Based Representations of Man-Made Shapes Dmitriy Smirnov, Mikhail Bessmeltsev, Justi

22 Nov 14, 2022

CURL: Contrastive Unsupervised Representations for Reinforcement Learning

CURL Rainbow Status: Archive (code is provided as-is, no updates expected) This is an implementation of CURL: Contrastive Unsupervised Representations

46 Dec 12, 2022

Deduplication is the task to combine different representations of the same real world entity.

Deduplication is the task to combine different representations of the same real world entity. This package implements deduplication using active learning. Active learning allows for rapid training without having to provide a large, manually labelled dataset.

63 Nov 17, 2022

A static analysis library for computing graph representations of Python programs suitable for use with graph neural networks.

python_graphs This package is for computing graph representations of Python programs for machine learning applications. It includes the following modu

258 Dec 29, 2022

Predicting Semantic Map Representations from Images with Pyramid Occupancy Networks

This is the code associated with the paper Predicting Semantic Map Representations from Images with Pyramid Occupancy Networks, published at CVPR 2020.

219 Dec 20, 2022

Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning

GenSen Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning Sandeep Subramanian, Adam Trischler, Yoshua B

309 Oct 19, 2022

Language-Agnostic SEntence Representations

LASER Language-Agnostic SEntence Representations LASER is a library to calculate and use multilingual sentence embeddings. NEWS 2019/11/08 CCMatrix is

3.2k Jan 4, 2023

Code for the paper "Unsupervised Contrastive Learning of Sound Event Representations", ICASSP 2021.

Unsupervised Contrastive Learning of Sound Event Representations This repository contains the code for the following paper. If you use this code or pa

81 Dec 22, 2022

Code for the paper: Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization (https://arxiv.org/abs/2002.11798)

Representation Robustness Evaluations Our implementation is based on code from MadryLab's robustness package and Devon Hjelm's Deep InfoMax. For all t

19 Dec 7, 2022

OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)

OCTIS : Optimizing and Comparing Topic Models is Simple! OCTIS (Optimizing and Comparing Topic models Is Simple) aims at training, analyzing and compa

478 Jan 1, 2023

Aligning Latent and Image Spaces to Connect the Unconnectable

About This repo contains the official implementation of the Aligning Latent and Image Spaces to Connect the Unconnectable paper. It is a GAN model whi

203 Jan 3, 2023

Pytorch implementation of COIN, a framework for compression with implicit neural representations 🌸

COIN 🌟 This repo contains a Pytorch implementation of COIN: COmpression with Implicit Neural representations, including code to reproduce all experim

104 Dec 14, 2022

Proto-RL: Reinforcement Learning with Prototypical Representations

Proto-RL: Reinforcement Learning with Prototypical Representations This is a PyTorch implementation of Proto-RL from Reinforcement Learning with Proto

74 Dec 6, 2022

Code for Iso-Points: Optimizing Neural Implicit Surfaces with Hybrid Representations

Implementation for Iso-Points (CVPR 2021) Official code for paper Iso-Points: Optimizing Neural Implicit Surfaces with Hybrid Representations paper |

66 Nov 8, 2022

Official PyTorch implementation of Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations

Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations Zhenyu Jiang, Yifeng Zhu, Maxwell Svetlik, Kuan Fang, Yu

UT-Austin Robot Perception and Learning Lab

63 Jan 3, 2023

《LXMERT: Learning Cross-Modality Encoder Representations from Transformers》(EMNLP 2020)

The Most Important Thing. Our code is developed based on: LXMERT: Learning Cross-Modality Encoder Representations from Transformers

53 Dec 16, 2022

Learning Dense Representations of Phrases at Scale (Lee et al., 2020)

DensePhrases DensePhrases provides answers to your natural language questions from the entire Wikipedia in real-time. While it efficiently searches th

540 Dec 30, 2022

Diverse Image Captioning with Context-Object Split Latent Spaces (NeurIPS 2020)

Diverse Image Captioning with Context-Object Split Latent Spaces This repository is the PyTorch implementation of the paper: Diverse Image Captioning

34 Nov 21, 2022

Code for: Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic Space. Nicholas Monath, Manzil Zaheer, Daniel Silva, Andrew McCallum, Amr Ahmed. KDD 2019.

gHHC Code for: Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic Space. Nicholas Monath, Manzil Zaheer, D

35 Nov 16, 2022

Python Latent-representations Resources

Python latent-representations Libraries

To automate the generation and validation tests of COSE/CBOR Codes and it's base45/2D Code representations

PyTorch implementation of: Michieli U. and Zanuttigh P., "Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations", CVPR 2021.

Disentangled Face Attribute Editing via Instance-Aware Latent Space Search, accepted by IJCAI 2021.

Conformer: Local Features Coupling Global Representations for Visual Recognition

Non-Official Pytorch implementation of "Face Identity Disentanglement via Latent Space Mapping" https://arxiv.org/abs/2005.07728 Using StyleGAN2 instead of StyleGAN

Code for Learning Manifold Patch-Based Representations of Man-Made Shapes, in ICLR 2021.

CURL: Contrastive Unsupervised Representations for Reinforcement Learning

Deduplication is the task to combine different representations of the same real world entity.

A static analysis library for computing graph representations of Python programs suitable for use with graph neural networks.

Predicting Semantic Map Representations from Images with Pyramid Occupancy Networks

Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning

Language-Agnostic SEntence Representations

Code for the paper "Unsupervised Contrastive Learning of Sound Event Representations", ICASSP 2021.

Code for the paper: Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization (https://arxiv.org/abs/2002.11798)

OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)

Aligning Latent and Image Spaces to Connect the Unconnectable

Pytorch implementation of COIN, a framework for compression with implicit neural representations 🌸

Proto-RL: Reinforcement Learning with Prototypical Representations

Code for Iso-Points: Optimizing Neural Implicit Surfaces with Hybrid Representations

Official PyTorch implementation of Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations

《LXMERT: Learning Cross-Modality Encoder Representations from Transformers》(EMNLP 2020)

Learning Dense Representations of Phrases at Scale (Lee et al., 2020)

Diverse Image Captioning with Context-Object Split Latent Spaces (NeurIPS 2020)

Code for: Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic Space. Nicholas Monath, Manzil Zaheer, Daniel Silva, Andrew McCallum, Amr Ahmed. KDD 2019.

DeFMO: Deblurring and Shape Recovery of Fast Moving Objects (CVPR 2021)

Navigating StyleGAN2 w latent space using CLIP

Implementation of OmniNet, Omnidirectional Representations from Transformers, in Pytorch

Official pytorch implementation of paper "Image-to-image Translation via Hierarchical Style Disentanglement".

Face Identity Disentanglement via Latent Space Mapping [SIGGRAPH ASIA 2020]

GAP-text2SQL: Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training

Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search

Python Latent-representations Resources

Python latent-representations Libraries

To automate the generation and validation tests of COSE/CBOR Codes and it's base45/2D Code representations

PyTorch implementation of: Michieli U. and Zanuttigh P., "Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations", CVPR 2021.

Disentangled Face Attribute Editing via Instance-Aware Latent Space Search, accepted by IJCAI 2021.

Conformer: Local Features Coupling Global Representations for Visual Recognition

Non-Official Pytorch implementation of "Face Identity Disentanglement via Latent Space Mapping" https://arxiv.org/abs/2005.07728 Using StyleGAN2 instead of StyleGAN

Code for Learning Manifold Patch-Based Representations of Man-Made Shapes, in ICLR 2021.

CURL: Contrastive Unsupervised Representations for Reinforcement Learning

Deduplication is the task to combine different representations of the same real world entity.

A static analysis library for computing graph representations of Python programs suitable for use with graph neural networks.

Predicting Semantic Map Representations from Images with Pyramid Occupancy Networks

Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning

Language-Agnostic SEntence Representations

Code for the paper "Unsupervised Contrastive Learning of Sound Event Representations", ICASSP 2021.

Code for the paper: Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization (https://arxiv.org/abs/2002.11798)

OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)

Aligning Latent and Image Spaces to Connect the Unconnectable

Pytorch implementation of COIN, a framework for compression with implicit neural representations 🌸

Proto-RL: Reinforcement Learning with Prototypical Representations

Code for Iso-Points: Optimizing Neural Implicit Surfaces with Hybrid Representations

Official PyTorch implementation of Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations

《LXMERT: Learning Cross-Modality Encoder Representations from Transformers》(EMNLP 2020)

Learning Dense Representations of Phrases at Scale (Lee et al., 2020)

Diverse Image Captioning with Context-Object Split Latent Spaces (NeurIPS 2020)

Code for: Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic Space. Nicholas Monath, Manzil Zaheer, Daniel Silva, Andrew McCallum, Amr Ahmed. KDD 2019.

DeFMO: Deblurring and Shape Recovery of Fast Moving Objects (CVPR 2021)

Navigating StyleGAN2 w latent space using CLIP

Implementation of OmniNet, Omnidirectional Representations from Transformers, in Pytorch

Official pytorch implementation of paper "Image-to-image Translation via Hierarchical Style Disentanglement".

Face Identity Disentanglement via Latent Space Mapping [SIGGRAPH ASIA 2020]

GAP-text2SQL: Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training

Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search

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