Changchun-Yang

svt

Official repository for "Self-Supervised Video Transformer" (CVPR'22)

DeepLearningExamples

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

real-colon-dataset

Helper function for working with the REAL-Colon Dataset

SpatialGlue_notebook

SpatialGlue

SpatialGlue is a novel deep learning methods for spatial multi-omics data integration.

EVA

EVA Series: Visual Representation Fantasies from BAAI

EVA-X

[arXiv'24] EVA-X: A foundation model for general chest X-ray analysis with self-supervised learning

im2im-uq

Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with rigorous, distribution-free uncertainty quantification.

ltt

Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control

conformal-prediction

Lightweight, useful implementation of conformal prediction on real data.

spatialdata-notebooks

nicheformer

Repository for Nicheformer: a foundation model for single-cell and spatial omics

awesome-vscode-extensions

:gem:Tops of VSCode Extensions

scGPT

OpenAI-CLIP

Simple implementation of OpenAI CLIP model in PyTorch.

Hist2Cell

Awesome-Image-based-Phenotypic-Drug-Discovery

Awesome Image-based Phenotypic Drug Discovery Papers and Codes

Deep-Learning-in-Spatial-Transcriptomics-Analysis

This repository will host a (continously updated) list of various deep learning methods used in different stages of spatial transcriptomics analysis.

diffusion_models

Minimal standalone example of diffusion model

ST-Net

Deep learning on histopathology images.

Hist2ST

open_clip

An open source implementation of CLIP.

CLIP_Surgery

CLIP Surgery for Better Explainability with Enhancement in Open-Vocabulary Tasks

TabMedOOD

Code for the paper "Unmasking the Chameleons: A Benchmark for Out-of-Distribution Detection in Medical Tabular Data".

MvMM-RegNet

MvMM-RegNet: A new image registration framework based on multivariate mixture model and neural network estimation (MICCAI 2020)

sepsis-prediction-review

tcd_calib

certified-certain-uncertainty

A way to achieve uniform confidence far away from the training data.

calibration-framework

The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a neural network.

Practical_DL

DL course co-developed by YSDA, HSE and Skoltech