303 Open source projects that are alternatives of or similar to abae-pytorch

Code & data accompanying the KDD 2017 paper "KATE: K-Competitive Autoencoder for Text"

[CVPR2020] Adversarial Latent Autoencoders

TLDR is an unsupervised dimensionality reduction method that combines neighborhood embedding learning with the simplicity and effectiveness of recent self-supervised learning losses

A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).

Automatic Gap-Fill Question Generation

Shared Latent Space VAE's

Implementation of Relation Network and Recurrent Relational Network using PyTorch v1.3. Original papers: (RN) https://arxiv.org/abs/1706.01427 (RRN): https://arxiv.org/abs/1711.08028

Code to run the ExtRA algorithm for unsupervised topic/aspect extraction on English texts.

Topic Words in Context (TWiC) is a highly-interactive, browser-based visualization for MALLET topic models

Metrics for model evaluation in pytorch

Tree-based Autofolding Software Summarization Algorithm

Interactive Visual Machine Learning Demos.

Knowledge Graph Embedding LDA. AAAI 2017

Photometric optimization code for creating the FLAME texture space and other applications

Clasificador de preguntas escrito en python 3 que fue implementado en el siguiente vídeo: https://youtu.be/qnlW1m6lPoY

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Colorizing B&W Photos with Neural Networks

Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).

Conversational text Analysis using various NLP techniques

"Self-training with Noisy Student improves ImageNet classification" pytorch implementation

Python implementation of "Content-based recommendations with poisson factorization", with some extensions

Learning structural topic modeling using the stm R package.

Sentiment Analysis & Topic Modeling with Amazon Reviews

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

Learning about Haskell with Variational Autoencoders

Implementing nlp papers relevant to classification with PyTorch, gluonnlp

Neural network library written in C and Javascript

Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound

experimenting with differentiable models of morphogenesis 🔬 🦠

Mixing Dirichlet Topic Models and Word Embeddings to Make lda2vec from this paper https://arxiv.org/abs/1605.02019

Keyphrase Generation

HEAD-QA: A Healthcare Dataset for Complex Reasoning

Global NIPS Paper Implementation Challenge of "Hiding Images in Plain Sight: Deep Steganography"

Standard federated learning implementations in FedLab and FL benchmarks.

Automatic feature engineering using deep learning and Bayesian inference using TensorFlow.

Twitter Trends is a web-based application that automatically detects and analyzes emerging topics in real time through hashtags and user mentions in tweets. Twitter being the major microblogging service is a reliable source for trends detection. The project involved extracting live streaming tweets, processing them to find top hashtags and user …

This is my attempt to reproduce and extend the results in the paper "An Introduction to Deep Learning for the Physical Layer" by Tim O'Shea and Jakob Hoydis

Experiments with Adversarial Autoencoders using Keras

[CVPR 2021] SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration

From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)

Interface for easier topic modelling.

📈 PyTorch dual-attention LSTM-autoencoder for multivariate Time Series 📈

Noise removal from images using Convolutional autoencoder

eForest: Reversible mapping between high-dimensional data and path rule identifiers using trees embedding

[KDD 2020] Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding

This is a PyTorch implementation of the paper: "Processing Megapixel Images with Deep Attention-Sampling Models".

Semantics-guided Part Attention Network (ECCV 2020 Oral)

Pytorch implementation of Self-Organizing Map(SOM). Use MNIST dataset as a demo.

PyTorch implementation of "Pruning Filters For Efficient ConvNets"

PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results

Code for Paper ''Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning'' [ICCV 2019]

📝 Topic Modeling for Humans

Implementation of MelNet in PyTorch to generate high-fidelity audio samples

Multi-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit

Official repository for ElasticFace: Elastic Margin Loss for Deep Face Recognition

Biterm Topic Modelling for Short Text with R

Code for our ACL 2021 paper "One2Set: Generating Diverse Keyphrases as a Set"

This is the official implementation for IVA '19 paper "Analyzing Input and Output Representations for Speech-Driven Gesture Generation".

Implementations of autoencoder, generative adversarial networks, variational autoencoder and adversarial variational autoencoder

Learning low-shot object classification with explicit shape bias learned from point clouds