Lists (15)
3D Gaussian
3D Gaussian models for digital human11 repositories
4d Gen
符号模型表征1 repository
Diffusion model for audio
speech & audio generation3 repositories
diffusion model for eeg
11 repositories
Diffusion models for 3D
1 repository
Diffusion models for images
4 repositories
Global Illumination Accalerating
tagc 腾讯游戏场景渲染加速，带tod时间通道1 repository
LLM
2 repositories
Starred repositories
33
stars
written in Jupyter Notebook
Clear filter
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
stable diffusion webui colab
LAVIS - A One-stop Library for Language-Vision Intelligence
PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!
Materials for the Hugging Face Diffusion Models Course
[CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering
NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning
A Modular Framework for 3D Gaussian Splatting and Beyond
Simple image captioning model
Instant-ngp in pytorch+cuda trained with pytorch-lightning (high quality with high speed, with only few lines of legible code)
Apply diffusion models using the new Hugging Face diffusers package to synthesize music instead of images.
Codes for "CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation"
(CVPR 2025 Highlight) The Scene Language: Representing Scenes with Programs, Words, and Embeddings
EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comparing the performance across different models.
GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, datasets 2a. Final project for UCLA's EE C247: Neural Networks…
LSTM-GAN for generate plausible ECG signals
An implementation of Denoising Diffusion Probabilistic Models (DDPM) in PyTorch for EEG-based image reconstruction.
EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)
Code for the paper "EEG Channel Interpolation Using Deep Encoder-decoder Networks"
Using Stable Diffusion on the DEAP Dataset to argument new data and improve classification
Brain EEG signal data augmentation using synthetic signals generated by a single step diffusion probabilistic model.