representation-learning

Here are 798 public repositories matching this topic...

BalajiAI / VICReg

JAX/Flax implementation of "VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning". ICLR 2022. https://arxiv.org/abs/2105.04906

representation-learning self-supervised-learning

Updated Jan 29, 2023
Jupyter Notebook

artbabu / Thesis_Main

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Master's Thesis Document

sentence representation-learning

Updated Aug 12, 2018
TeX

marcomoldovan / hierarchical-language-modeling

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We address the task of learning contextualized word, sentence and document representations with a hierarchical language model by stacking Transformer-based encoders on a sentence level and subsequently on a document level and performing masked token prediction.

machine-learning natural-language-processing information-retrieval deep-learning word-embeddings pytorch transformer transfer-learning representation-learning language-model attention-mechanism document-retrieval natural-language-understanding document-embedding sentence-embeddings

Updated Jul 25, 2023
Jupyter Notebook

yunhaoyang234 / Multi-Filter-Seq2Seq-Model

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Code for reproducing results in Representation Learning in Sequence to Sequence Tasks: Multi-filter Gaussian Mixture Autoencoder.

nlp translation autoencoder representation-learning

Updated Aug 17, 2021
Python

burcgokden / Power-Law-Graph-Transformer

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Implementation of Power Law Graph Transformer for Machine Translation and Representation Learning.

machine-learning deep-learning neural-network tensorflow machine-translation machine-learning-algorithms transformer attention representation-learning residual-networks graph-neural-network machine-learning-model power-law graph-transformer tensorflow-text power-law-graph-transformer plgt plga

Updated Jul 19, 2021
Python

bacnguyencong / deepml

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Deep metric learning repository

deep-learning metric-learning representation-learning deep-metric-learning pytorch-implmention

Updated Apr 14, 2020
Python

filipbasara0 / sigmoid-contrastive-loss

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Implementation of modulated sigmoid pairwise contrastive loss for self-supervised learning on images

machine-learning deep-learning pytorch representation-learning unsupervised-learning self-supervised-learning contrastive-learning

Updated May 22, 2024
Python

gmalik9 / floating_point_data_compressor

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gipa -- compression/decompression tool to package compress and encode massive archive files with floating-point data

compression data-visualization autoencoder compressor data-compression representation representation-learning floating-point massive-datasets

Updated Sep 14, 2017
Python

pemami4911 / genesis.pytorch

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Unofficial PyTorch implementation of GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations

deep-learning representation-learning generative-models variational-autoencoders

Updated May 24, 2021
Python

denn-s / SimCLR

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Unofficial PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by Ting Chen et al.

pytorch representation-learning unsupervised-learning self-supervised-learning simclr contrastive-learning

Updated Aug 30, 2020
Python

drgriffis / text-essence

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Preprocessing and analysis for training SNOMED-CT concept embeddings from CORD-19 corpus

natural-language-processing embeddings corpus-linguistics representation-learning

Updated Aug 4, 2023
Python

navidpadid / From-dirty-data-to-knowledge-full-pipeline

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Learn the fundamental tools for assessing, preparing and analyzing data. You will learn to implement a variety of analytical and machine learning algorithms to including supervised, unsupervised and other learning approaches.

python data-science machine-learning deep-learning data-visualization data-engineering classification representation-learning data-cleaning