Index

Author: CuiEM

Unless specified otherwise, all the code and the documentation on this site is in public domain.

Archive: June 12, 2024

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Time-series-prediction-based-on-LSTM-model: Python; Jupyter Notebook; time series analysis; time series predicton; machines learning; RNN; LSTM; ...

Graph Theory Learning Note: graph theory; UCAS; learning note; ...

Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models: Pytorch; Normalizing Flow; Generative Model; Gan; MNIST; CIFAR10; ...

Spaceship Titantic of Kaggle: Python; Jupyter Notebook; Kaggle; feature engineering; machines learning; Catboost; Clustering; ...

DreamFusion: Text-to-3D using 2D Diffusion: Python; Pytorch; Machine learning; Text-to-3D; Diffusion; NeRF; U-net; MLP; Generative Model; ...

Diffusion-GAN: Training Gans with Diffusion: Python; Pytorch; Machine learning; Diffusion; StyleGan; Computer Vision; Generative Model; ...

Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model: Python; Pytorch; Machine learning; Text2Image; VAE; Transformer; Diffusion; Generative Model; ...

Human Motion Prediction based on Consistency Distillation: Python; Pytorch; Machine learning; Human Motion Prediction; 3D Generative Model; Transformer; Diffusion; Consistency Distillation; ...

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