193 skills found · Page 1 of 7
matthewvowels1 / Awesome VAEsA curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
Seed3D / Dora[CVPR 2025] Official repository for "Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders"
SimonKohl / Probabilistic UnetA U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
hwalsuklee / Tensorflow Mnist VAETensorflow implementation of variational auto-encoder for MNIST
NetManAIOps / DonutWWW 2018: Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications
DaehanKim / Vgae PytorchThis repository implements variational graph auto encoder by Thomas Kipf.
nicola-decao / S Vae PytorchPytorch implementation of Hyperspherical Variational Auto-Encoders
y0ast / Variational AutoencoderImplementation of a Variational Auto-Encoder in Theano
TimyadNyda / Variational Lstm AutoencoderLstm variational auto-encoder for time series anomaly detection and features extraction
omerbsezer / Generative Models Tutorial With DemoGenerative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..
y0ast / VAE TorchImplementation of Variational Auto-Encoder in Torch7
nicola-decao / S Vae TfTensorflow implementation of Hyperspherical Variational Auto-Encoders
stitchfix / FauxtographTools for using a variational auto-encoder for latent image encoding and generation.
piyushpathak03 / Recommendation SystemsRecommendation Systems This is a workshop on using Machine Learning and Deep Learning Techniques to build Recommendation Systesm Theory: ML & DL Formulation, Prediction vs. Ranking, Similiarity, Biased vs. Unbiased Paradigms: Content-based, Collaborative filtering, Knowledge-based, Hybrid and Ensembles Data: Tabular, Images, Text (Sequences) Models: (Deep) Matrix Factorisation, Auto-Encoders, Wide & Deep, Rank-Learning, Sequence Modelling Methods: Explicit vs. implicit feedback, User-Item matrix, Embeddings, Convolution, Recurrent, Domain Signals: location, time, context, social, Process: Setup, Encode & Embed, Design, Train & Select, Serve & Scale, Measure, Test & Improve Tools: python-data-stack: numpy, pandas, scikit-learn, keras, spacy, implicit, lightfm Notes & Slides Basics: Deep Learning AI Conference 2019: WhiteBoard Notes | In-Class Notebooks Notebooks Movies - Movielens 01-Acquire 02-Augment 03-Refine 04-Transform 05-Evaluation 06-Model-Baseline 07-Feature-extractor 08-Model-Matrix-Factorization 09-Model-Matrix-Factorization-with-Bias 10-Model-MF-NNMF 11-Model-Deep-Matrix-Factorization 12-Model-Neural-Collaborative-Filtering 13-Model-Implicit-Matrix-Factorization 14-Features-Image 15-Features-NLP Ecommerce - YooChoose 01-Data-Preparation 02-Models News - Hackernews Product - Groceries Python Libraries Deep Recommender Libraries Tensorrec - Built on Tensorflow Spotlight - Built on PyTorch TFranking - Built on TensorFlow (Learning to Rank) Matrix Factorisation Based Libraries Implicit - Implicit Matrix Factorisation QMF - Implicit Matrix Factorisation Lightfm - For Hybrid Recommedations Surprise - Scikit-learn type api for traditional alogrithms Similarity Search Libraries Annoy - Approximate Nearest Neighbour NMSLib - kNN methods FAISS - Similarity search and clustering Learning Resources Reference Slides Deep Learning in RecSys by Balázs Hidasi Lessons from Industry RecSys by Xavier Amatriain Architecting Recommendation Systems by James Kirk Recommendation Systems Overview by Raimon and Basilico Benchmarks MovieLens Benchmarks for Traditional Setup Microsoft Tutorial on Recommendation System at KDD 2019 Algorithms & Approaches Collaborative Filtering for Implicit Feedback Datasets Bayesian Personalised Ranking for Implicit Data Logistic Matrix Factorisation Neural Network Matrix Factorisation Neural Collaborative Filtering Variational Autoencoders for Collaborative Filtering Evaluations Evaluating Recommendation Systems
y0ast / VAE TensorFlowImplementation of a Variational Auto-Encoder in TensorFlow
yzwxx / Vae CelebAVariational auto-encoder trained on celebA . All rights reserved.
google / Vae SeqVariational Auto-Encoders in a Sequential Setting.
xqding / TD VAETemporal Difference Variational Auto-Encoder (TD-VAE) (Implementation in PyTorch)
hwalsuklee / Tensorflow Mnist CVAETensorflow implementation of conditional variational auto-encoder for MNIST
JeremyCCHsu / Vae NpvcRe-implementation the code used in Voice Conversion from Non-parallel Corpora Using Variational Auto-encoder
