Voyageran's Stars
labmlai/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, ... 🧠
mli/paper-reading
深度学习经典、新论文逐段精读
NVlabs/stylegan
StyleGAN - Official TensorFlow Implementation
lucidrains/denoising-diffusion-pytorch
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
openai/guided-diffusion
madler/zlib
A massively spiffy yet delicately unobtrusive compression library.
idealo/image-super-resolution
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
NVlabs/stylegan2-ada-pytorch
StyleGAN2-ADA - Official PyTorch implementation
lucidrains/stylegan2-pytorch
Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
znxlwm/UGATIT-pytorch
Official PyTorch implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation
asadoughi/stat-learning
Notes and exercise attempts for "An Introduction to Statistical Learning"
wzpan/BeamerStyleSlides
🌈Beamer风格的幻灯片模板集。包含了PowerPoint和Keynote两套格式。
fyu/lsun
LSUN Dataset Documentation and Demo Code
zsyOAOA/VDNet
Variational Denoising Network: Toward Blind Noise Modeling and Removal (NeurIPS, 2019) (Pytorch)
siyu-npc/learning-q-sharp
微软Q#
ozanciga/gans-with-pytorch
Various implementations of Generative adversarial networks using Pytorch
marcelsan/Deep-HdrReconstruction
Official PyTorch implementation of "Single Image HDR Reconstruction Using a CNN with Masked Features and Perceptual Loss" (SIGGRAPH 2020)
sih4sing5hong5/google-sites-liberation
Fork Version: This is an import/export tool for Google Sites.
2019ChenGong/Functional-Analysis
hromi/SMILEsmileD
open source smile detector haarcascade and associated positive & negative image datasets
mengziyi64/TSA-Net
End-to-End Low Cost Compressive Spectral Imaging with Spatial-Spectral Self-Attention
davidandrzej/PyIBP
NumPy implementation of infinite latent feature model (aka Indian Buffet Process or IBP)
nathfavour/bionicpython
AI powered Flutter/python library to convert your pdfs and docx to bionic reading format.
wangyt95/LinearRegression-Notes
For sharing purposes
ZWolken/rime-wenzhounese
基於Rime的溫州話輸入方案規則；基于Rime的温州话输入方案规则（采用沈克成先生-沈迦先生的拼音方案）
FurongHuang/ConvDicLearnTensorFactor
Tensor methods have emerged as a powerful paradigm for consistent learning of many latent variable models such as topic models, independent component analysis and dictionary learning. Model parameters are estimated via CP decomposition of the observed higher order input moments. However, in many domains, additional invariances such as shift invariances exist, enforced via models such as convolutional dictionary learning. In this paper, we develop novel tensor decomposition algorithms for parameter estimation of convolutional models. Our algorithm is based on the popular alternating least squares method, but with efficient projections onto the space of stacked circulant matrices. Our method is embarrassingly parallel and consists of simple operations such as fast Fourier transforms and matrix multiplications. Our algorithm converges to the dictionary much faster and more accurately compared to the alternating minimization over filters and activation maps.
dchan04/BionicReader
A simple bionic text converter that can take a file (pdf, txt, docx), extract the text, and convert it into bionic text.
SZU-AdvTech-2023/201-Diffusion-Models-beat-GANs-on-Image-Synthesis
Qilun-Luo/Variational-Bayesian-Dictionary-Learning-on-Tensor-Factorization
Bayesian Dictionary Learning on Robust Tubal Transformed Tensor Factorization
xgfang/Mat_Var_Factor_Model
Code for Statistical Inference for High Dimensional Matrix Variate Factor Model (Chen & Fan, 2021, JASA) in R