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Search results for autoregressive
autoregressive
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20 search results found
Awesome Normalizing Flows
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1,232
Awesome resources on normalizing flows.
Pyaf
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438
PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
Pycadl
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355
Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"
Dalle Mtf
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296
Open-AI's DALL-E for large scale training in mesh-tensorflow.
Tts Cube
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216
End-2-end speech synthesis with recurrent neural networks
Look Outside Room
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61
[CVPR 2022] Look Outside the Room: Synthesizing A Consistent Long-Term 3D Scene Video from A Single Image
Orange3 Timeseries
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60
🍊 📈 Orange add-on for analyzing, visualizing, manipulating, and forecasting time series data.
Arfima.jl
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48
Simulate stochastic timeseries that follow ARFIMA, ARMA, ARIMA, AR, etc. processes
Gatedpixelcnnpytorch
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46
PyTorch implementation of "Conditional Image Generation with PixelCNN Decoders" by van den Oord et al. 2016
Forecast.jl
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43
Julia package containing utilities intended for Time Series analysis.
Flowket
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33
A framework based on Tensorflow for running variational Monte-Carlo simulations of quantum many-body systems.
Autoregressive
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32
🥝 Autoregressive Models in PyTorch.
Scoredrivenmodels.jl
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26
Score-driven models, aka generalized autoregressive score models, in Julia
Comprehensive Tacotron2
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23
PyTorch Implementation of Google's Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions. This implementation supports both single-, multi-speaker TTS and several techniques to enforce the robustness and efficiency of the model.
Tvreg
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16
R package to estimate time-varying coefficient regressions
Infomaxvae
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13
InfoMax-VAE pytorch implementation
Metaformer Gpt
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12
Implementation of Metaformer, but in an autoregressive manner
A2mim
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11
[ICML 2023] Architecture-Agnostic Masked Image Modeling -- From ViT back to CNN
Phycrnet
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8
Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs
Karpathy Nn Lectures
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7
My runthrough of karpathy's lectures (with notes), building NN's from scratch, simple autoregressive language models, GPT models and learnt ML techniques.
1-20 of 20 search results
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