[3DV 2024] official repo of 3DV paper "RoomDesigner: Encoding Anchor-latents for Style-consistent and Shape-compatible Indoor Scene Generation"
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Updated
Jul 24, 2024 - Python
[3DV 2024] official repo of 3DV paper "RoomDesigner: Encoding Anchor-latents for Style-consistent and Shape-compatible Indoor Scene Generation"
Source Separation of Multi-source Raw Music using Residual Quantization
Awesome resources on normalizing flows.
This repository is the official implementation of our Autoregressive Pretraining with Mamba in Vision
PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
PyTorch Lightning Implementation of Diffusion, GAN, VAE, Flow models
repo for practicing DL/genAI
[ICML 2024] This repository includes the official implementation of our paper "Rejuvenating image-GPT as Strong Visual Representation Learners"
[ICML 2023] Architecture-Agnostic Masked Image Modeling -- From ViT back to CNN
Generative model for sequential recommendation based on Convolution Neural Networks (CNN))
Sequence-to-Sequence Generative Model for Sequential Recommender System
🍊 📈 Orange add-on for analyzing, visualizing, manipulating, and forecasting time series data.
End-2-end speech synthesis with recurrent neural networks
Light, modular framework for dynamic time series modeling, compatible with scikit-learn
The code of GMM and MAF classifiers
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.
[CVPR 2022] Official implemention of the paper "LAR-SR: A Local Autoregressive Model for Image Super-Resolution“
[CVPR 2022] Look Outside the Room: Synthesizing A Consistent Long-Term 3D Scene Video from A Single Image
Backtesting software for intraday and daily timeframe SARIMAX forecasting model. Capable of forecasting on any asset class with backtesting capability across various parameter sets customizable by the user.
Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"
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