tauhidstanford

3D-DeconvolutionGAN

deconvolution on 2D and 3D images

3DUnetCNN

Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

Adversarial-Semisupervised-Semantic-Segmentation

Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge

allHTMLs

AutoEncoder

Implementation of Semantic Hashing. Modified from Ruslan Salakhutdinov and Geoff Hinton's code of training Deep AutoEncoder

autoencoders_arcene

Modeling High-Dimensional Classification Problems Using Deep Learning

awesome-community-detection

A curated list of community detection research papers with implementations.

ccsf

Leveraging cell-cell similarity for high-performance spatial and temporal cellular mappings from gene expression data (Cell Patterns, 2023)

Feature-augmented-embedding-machine

[Nature Biomedical Engineering, 2020] A broadly applicable algorithm for dimensionality reduction to reveal underlying trends in a range of biomedical datasets

GSE

Geometry and statistics-preserving manifold embedding for nonlinear dimensionality reduction

tauhidstanford/Feature-augmented-embedding-machine

[Nature Biomedical Engineering, 2020] A broadly applicable algorithm for dimensionality reduction to reveal underlying trends in a range of biomedical datasets

tauhidstanford/GSE

Geometry and statistics-preserving manifold embedding for nonlinear dimensionality reduction

tauhidstanford/ccsf

Leveraging cell-cell similarity for high-performance spatial and temporal cellular mappings from gene expression data (Cell Patterns, 2023)

tauhidstanford/allHTMLs

tauhidstanford/awesome-community-detection

A curated list of community detection research papers with implementations.

tauhidstanford/awesome-single-cell

Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.

tauhidstanford/basenji

Sequential regulatory activity predictions with deep convolutional neural networks.

tauhidstanford/cell2location

cell2location: High-throughput spatial mapping of cell types

tauhidstanford/chexnet

Implementation of the CheXNet network (PyTorch)

tauhidstanford/cvat

Powerful and efficient Computer Vision Annotation Tool (CVAT)

tauhidstanford/dca

Deep count autoencoder for denoising scRNA-seq data

tauhidstanford/deep_learning_pca

tauhidstanford/deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

tauhidstanford/FDRnet

A method for identifying significantly mutated subnetworks in human diseases

tauhidstanford/FlowiseAI-Railway

tauhidstanford/gcp-cvat-stanford

Setting up cvat on Google Cloud (Compute Engine and Managed SQL)

tauhidstanford/genomap

Cartography of Genomic Interactions Enables Deep Analysis of Single-Cell Expression Data (Nature Communications, 2023)

tauhidstanford/google-research

Google Research

tauhidstanford/Keras-GAN

Keras implementations of Generative Adversarial Networks.

tauhidstanford/kmodes

Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

tauhidstanford/liger

R package for integrating and analyzing multiple single-cell datasets

tauhidstanford/lrp_toolbox

The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Python. The Toolbox realizes LRP functionality for the Caffe Deep Learning Framework as an extension of Caffe source code published in 10/2015.

tauhidstanford/Meta-AAD

[ICDM 2020] Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning

tauhidstanford/NSL

Implementation for <Neural Similarity Learning> in NeurIPS'19.

tauhidstanford/PHATE

PHATE (Potential of Heat-diffusion for Affinity-based Transition Embedding) is a tool for visualizing high dimensional data.

tauhidstanford/PREEEDM

The Matlab code was created based on algorithm proposed by S. Zhou, N. Xiu and H. Qi, Robust Euclidean Embedding via EDM Optimisation, Mathematical Programming Computation, 2019.

tauhidstanford/rtemis

Advanced Machine Learning and Visualization

tauhidstanford/TabMap

Converting tabular data into 2D topographic map (TabMap) for pattern discovery using deep learning - Nature BME

tauhidstanford/tfoptflow

Optical Flow Prediction with TensorFlow. Implements "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume," by Deqing Sun et al. (CVPR 2018)

tauhidstanford/umap

Uniform Manifold Approximation and Projection