1,114 skills found · Page 4 of 38
YongfeiYan / Gumbel Softmax VAEPyTorch implementation of a Variational Autoencoder with Gumbel-Softmax Distribution
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
LMescheder / AdversarialVariationalBayesThis repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks".
silviutroscot / CodeSLAMImplementation of CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM paper (https://arxiv.org/pdf/1804.00874.pdf)
ssemeniuta / TextvaeTheano code for experiments in the paper "A Hybrid Convolutional Variational Autoencoder for Text Generation."
LINCellularNeuroscience / VAMEVariational Animal Motion Embedding - A tool for time series embedding and clustering
florencejt / FusilliA Python package housing a collection of deep-learning multi-modal data fusion method pipelines! From data loading, to training, to evaluation - fusilli's got you covered 🌸
taldatech / Soft Intro Vae Pytorch[CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Variational Autoencoders"
YatingMusic / MuseMorphosePyTorch implementation of MuseMorphose (published at IEEE/ACM TASLP), a Transformer-based model for music style transfer.
sony / SqvaePytorch implementation of stochastically quantized variational autoencoder (SQ-VAE)
msmbuilder / VdeVariational Autoencoder for Dimensionality Reduction of Time-Series
yzwxx / Vae CelebAVariational auto-encoder trained on celebA . All rights reserved.
JingZhang617 / UCNetUC-Net: Uncertainty Inspired RGB-D Saliency Detectionvia Conditional Variational Autoencoders, CVPR2020
jxhe / Vae Lagging EncoderPyTorch implementation of "Lagging Inference Networks and Posterior Collapse in Variational Autoencoders" (ICLR 2019)
StefanDenn3r / Unsupervised Anomaly Detection Brain MRIAutoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study
nicola-decao / BNAFPytorch implementation of Block Neural Autoregressive Flow
greenelab / TybaltTraining and evaluating a variational autoencoder for pan-cancer gene expression data
numaproj / NumalogicCollection of operational time series ML models and tools
jiacheng-xu / Vmf Vae NlpCode for EMNLP18 paper "Spherical Latent Spaces for Stable Variational Autoencoders"
bhpfelix / Variational Autoencoder PyTorchVariational Autoencoder implemented with PyTorch, Trained over CelebA Dataset
