Chengwei94

annotated_deep_learning_paper_implementations

🧑‍🏫 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit), optimizers (adam, radam, adabelief), gans(dcgan, cyclegan, stylegan2), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, etc. 🧠

approxlocalpolynomial

cellhashR

An R package designed to demultiplex cell hashing data

chvae

Contrastive Heirarchical Variational AutoEncoder

clinica

Software platform for clinical neuroimaging studies

CS5364

Data Visualization

DISCOtoolkit_py

DISCO by Scientist for Scientist for You

Github

KDTree

Simple C++ KD-Tree implementation

kmcudaR

:exclamation: This is a read-only mirror of the CRAN R package repository. kmcudaR — 'Yingyang' K-Means and K-NN using NVIDIA CUDA

llrRcpp

Localweightedpolyreg

mcfda

Mean and covariance for functional data analysis

novosparc

PseudoreplicationPaper

Code used to carry out parameter estimation, correlation estimation, type 1 error analysis, and power analysis for our "Pseudoreplication in Single-Cell" study

Rtryout

scMM

score_sde_pytorch

PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

synfd

Synthesize dense/sparse functional data/snippets