autoregressive-neural-networks

There are 4 repositories under autoregressive-neural-networks topic.

jaanli / variational-autoencoder
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
vae machine-learning tensorflow variational-autoencoder variational-inference probabilistic-graphical-models deep learning deep-learning deep-neural-networks pytorch unsupervised-learning autoregressive-neural-networks
Language:Python 1120
EugenHotaj / pytorch-generative
Easy generative modeling in PyTorch.
autoregressive-neural-networks beta-vae generative-models image-generation image-gpt paper-implementations pixelcnn pixelsnail pytorch-generative variational-autoencoders vd-vae vq-vae
Language:Python 403
angeladai / ScanComplete
[CVPR'18] ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans
3d-reconstruction autoregressive-neural-networks computer-graphics computer-vision deep-learning
Language:Python 262
USTC-JialunPeng / Diverse-Structure-Inpainting
CVPR 2021: "Generating Diverse Structure for Image Inpainting With Hierarchical VQ-VAE"
attention autoregressive-neural-networks generative-adversarial-networks inpainting multimodal tensorflow vq-vae
Language:Python 173
naru-project / naru
Neural Relation Understanding: neural cardinality estimators for tabular data
cardinality-estimation query-optimization self-supervised-learning generative-model unsupervised-learning deep-generative-model autoregressive-neural-networks learned-database-components learned-database density-estimation transformers
Language:Python 93
wdphy16 / stat-mech-van
Code for 'Solving Statistical Mechanics using Variational Autoregressive Networks'.
statistical-physics variational-monte-carlo autoregressive-neural-networks scientific-computing pytorch
Language:Python 86
i6092467 / GVAR
An interpretable framework for inferring nonlinear multivariate Granger causality based on self-explaining neural networks.
machine-learning interpretable-models time-series-analysis granger-causality-analysis autoregressive-neural-networks causality granger-causality
Language:Python 59
henry-yeh / GLOP
[AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time
autoregressive-neural-networks capacitated-vehicle-routing-problem deep-reinforcement-learning divide-and-conquer graph-neural-networks hierarchical-reinforcement-learning neural-combinatorial-optimization non-autoregressive prize-collecting-travelling-salesman-problem reinforcement-learning transformer travelling-salesman-problem vehicle-routing-problem
Language:Python 41
wangleiphy / BetaVQE.jl
Solving Quantum Statistical Mechanics with Variational Autoregressive Networks and Quantum Circuits
autoregressive-neural-networks quantum-computing yao
Language:Julia 32
Mind-the-Pineapple / Autoregressive-models
Tensorflow 2.0 implementation of Deep Autoregressive Models
pixelcnn gated-pixelcnn autoregressive-neural-networks vq-vae2 generative-models tensorflow tensorflow2 tensorflow-models pixelrnn
Language:Jupyter Notebook 27
cqsl / mps-rnn
Code for 'From Tensor Network Quantum States to Tensorial Recurrent Neural Networks'.
autoregressive-neural-networks flax jax netket quantum-physics recurrent-neural-networks scientific-computing statistical-physics tensor-networks variational-monte-carlo
Language:Python 20
NjuHaoZhang / AutoregressModel-AE_VAD_CVPR2019
AutoregressModel-AE_VAD_CVPR2019 (code reimplemetation)
video-anomaly-detection autoregressive-neural-networks
Language:Python 12
JesseFarebro / PixelCNNPP
Tensorflow 2 implementation of PixelCNN++.
tensorflow tensorflow2 pixelcnn generative-model autoregressive-neural-networks
Language:Python 9
wangleiphy / VAN.jl
Variational Autoregressive Network in Julia
autoregressive-neural-networks
Language:Julia 9
cqsl / neural-cluster-update
Code for 'Unbiased Monte Carlo Cluster Updates with Autoregressive Neural Networks'.
scientific-computing autoregressive-neural-networks variational-monte-carlo quantum-physics statistical-physics jax markov-chain-monte-carlo
Language:Python 8
shanjgit / cs294-158-Assignments
Solutions for UCBerkeley CS294-158: Deep Unsupervised Learning Spring 2019
deep-learning python3 tensorflow2 generative-model autoregressive-neural-networks pytorch variational-autoencoder
Language:Jupyter Notebook 7
svjack / GLM-Open-Dialogue
A enhanced Open Dialogue Context Generator supported by General Language Model Pretraining with Autoregressive Blank Infilling
chinese dialog dialogpt dialogue glm open-domain-dialog open-domain-qa prompt t5 t5-model translation autoregressive-models autoregressive-neural-networks generator seq2seq stable-diffusion negative-prompt qa question-answering question-answering-system
Language:Python 7
var-skip / var-skip
Code for variable skipping ICML 2020 paper
deep-generative-model self-supervised-learning autoregressive-neural-networks density-estimation pattern-matching learned-database cardinality-estimation
Language:Python 6
JasonkayZK / predictor
A repository for autoregressive prediction via LSTM or some other ANN.
python neural-network lstm autoregressive-neural-networks prediction-model
Language:Python 5
parshakova / GAMS-for-Data-Efficient-Learning
Global Autoregressive Models (GAMs) for Data-Efficient Sequence Learning
autoregressive-neural-networks data-efficient energy-based-model global-features pytorch
Language:Jupyter Notebook 4
cqsl / sparse-twobody-arnn
autoregressive-neural-networks disordered-material equinox jax scientific-computing statistical-physics variational-monte-carlo random-graphs
Language:Python 3
JTP75 / Time-Series-Forecasting-UPMC
Machine Learning-based research for UPMC
applied-machine-learning arima autoregressive-neural-networks bioinformatics decision-tree-regression deep-learning machine-learning neural-networks research-paper research-project time-series-forecasting
Language:MATLAB 3
hectoramirez / Predicting_energy_consumption
Prediction of solar energy consumption using recurrent neural networks
autoregressive-neural-networks hackathon recurrent-neural-networks time-series
Language:Jupyter Notebook 2
Sebastian1981 / Time_Series_Sales_Prediction
predict sales based on time series data explicitely using deep learning
deep-learning time-series autoregressive-neural-networks
Language:Jupyter Notebook 2
saztorralba / RecurrentLM
Code and scripts for training, testing and sampling auto-regressive recurrent language models on PyTorch with RNN, GRU and LSTM layers
pytorch rnn-language-model nlp autoregressive-neural-networks gru lstm rnn
Language:Python 1
shamim-hussain / generative_neural_networks
Investigation into Generative Neural Networks.
keras tensorflow python generative-adversarial-network generative-neural-network autoregressive-neural-networks variational-autoencoder wasserstein-gan fisher-gan pixel-cnn adversarial-autoencoders dcgan conditional-gan
Language:Python 1
wkhademi / PixelCNN
A TensorFlow implementation of the PixelCNN.
autoregressive-neural-networks deep-learning tensorflow
Language:Python 1

autoregressive-neural-networks

jaanli / variational-autoencoder

EugenHotaj / pytorch-generative

angeladai / ScanComplete

USTC-JialunPeng / Diverse-Structure-Inpainting

naru-project / naru

wdphy16 / stat-mech-van

i6092467 / GVAR

henry-yeh / GLOP

wangleiphy / BetaVQE.jl

Mind-the-Pineapple / Autoregressive-models

cqsl / mps-rnn

NjuHaoZhang / AutoregressModel-AE_VAD_CVPR2019

JesseFarebro / PixelCNNPP

wangleiphy / VAN.jl

cqsl / neural-cluster-update

shanjgit / cs294-158-Assignments

svjack / GLM-Open-Dialogue

var-skip / var-skip

JasonkayZK / predictor

parshakova / GAMS-for-Data-Efficient-Learning

cqsl / sparse-twobody-arnn

JTP75 / Time-Series-Forecasting-UPMC

hectoramirez / Predicting_energy_consumption

Sebastian1981 / Time_Series_Sales_Prediction

saztorralba / RecurrentLM

shamim-hussain / generative_neural_networks

wkhademi / PixelCNN