Awesome resources on normalizing flows.
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Updated
Jul 1, 2024 - Python
Awesome resources on normalizing flows.
PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"
Open-AI's DALL-E for large scale training in mesh-tensorflow.
End-2-end speech synthesis with recurrent neural networks
🍊 📈 Orange add-on for analyzing, visualizing, manipulating, and forecasting time series data.
Generative model for sequential recommendation based on Convolution Neural Networks (CNN))
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.
A framework based on Tensorflow for running variational Monte-Carlo simulations of quantum many-body systems.
[CVPR 2022] Look Outside the Room: Synthesizing A Consistent Long-Term 3D Scene Video from A Single Image
Pytorch implementations of autoregressive pixel models - PixelCNN, PixelCNN++, PixelSNAIL
[ICML 2024] This repository includes the official implementation of our paper "Rejuvenating image-GPT as Strong Visual Representation Learners"
Sequence-to-Sequence Generative Model for Sequential Recommender System
🥝 Autoregressive Models in PyTorch.
Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs
Battery SoC prediction using a RNN autoregressive architecture implemented with Pytorch
InfoMax-VAE pytorch implementation
Implementation of Metaformer, but in an autoregressive manner
[ICML 2023] Architecture-Agnostic Masked Image Modeling -- From ViT back to CNN
PixelPyramids: Exact Inference Models from Lossless Image Pyramids (ICCV 2021)
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