MAGI-1: Autoregressive Video Generation at Scale
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Updated
May 1, 2025 - Python
MAGI-1: Autoregressive Video Generation at Scale
Awesome resources on normalizing flows.
PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
Open-AI's DALL-E for large scale training in mesh-tensorflow.
Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"
End-2-end speech synthesis with recurrent neural networks
Generative model for sequential recommendation based on Convolution Neural Networks (CNN))
This is the official implementation for ControlVAR.
[ICML 2024] This repository includes the official implementation of our paper "Rejuvenating image-GPT as Strong Visual Representation Learners"
🥝 Autoregressive Models in PyTorch.
[CVPR 2022] Look Outside the Room: Synthesizing A Consistent Long-Term 3D Scene Video from A Single Image
This repository is the official implementation of our Autoregressive Pretraining with Mamba in Vision
[NeurIPS 2024] Stabilize the Latent Space for Image Autoregressive Modeling: A Unified Perspective
🍊 📈 Orange add-on for analyzing, visualizing, manipulating, and forecasting time series data.
[ICLR 2025] Code for the paper "Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning"
[ACL 2024] Generative Pre-Trained Speech Language Model with Efficient Hierarchical Transformer
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.
Official repository for "BAMM: Bidirectional Autoregressive Motion Model (ECCV 2024)"
Battery SoC prediction using a RNN autoregressive architecture implemented with Pytorch
A framework based on Tensorflow for running variational Monte-Carlo simulations of quantum many-body systems.
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