Noob Liu's starred repositories
annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Retrieval-based-Voice-Conversion-WebUI
Easily train a good VC model with voice data <= 10 mins!
gaussian-splatting
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
awesome-implicit-representations
A curated list of resources on implicit neural representations.
Awesome-Deblurring
A curated list of resources for Image and Video Deblurring
awesome-semi-supervised-learning
😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
implicit-decoder
The code for paper "Learning Implicit Fields for Generative Shape Modeling".
Awesome-Implicit-Neural-Representations-in-Medical-imaging
[ICCV 2023] A curated list of resources on implicit neural representations in Medical Imaging
pyshearlab
pyShearLab is a Python toolbox which is based on ShearLab3D written by Rafael Reisenhofer and has been ported to Python by Stefan Loock.
PyShearlets
2D Fast Finite Shearlet Transforms (FFST)
2023-CVPR-CODE
PyTorch implementation for Comprehensive and Delicate: An Efficient Transformer for Image Restoration (CVPR 2023).
PyTorch-Useful-Codes
Some Blocks and Networks implemented by PyTorch
Contrast_enhancement_Shearlet
Medical Image contrast enhancement using Shearlet Transformation.