alibalapour Goto Github PK

alibalapour

alibalapour.github.io

My personal website

biof-501-project

BIOf 501 Project: Detecting Acute Myeloid Leukemia by using Microarray Gene Expression Data

clam

Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering

compact-sit

Compact Self-Supervised Vision Transformer (cSiT) on Histopathology Images

compact-transformers

[Preprint] Escaping the Big Data Paradigm with Compact Transformers, 2021

convmixer-cifar10

Simple CIFAR-10 classification with ConvMixer

covidplot19

Getting daily Data of Covid19 and draw some plots with data.

data-pruning

A Simple Implementation for "Beyond neural scaling laws: beating power law scaling via data pruning"

eece-571f-project

foundation-transmil

Course project for UBC EECE 570 2023W2.

hatnet

SA-Diagnet: Self-attention-based network for diagnosing histopathological images

hopr

This is the development site for Hands-On Programming with R, a book that teaches how to program in R, with hands-on examples. Read the book at https://rstudio-education.github.io/hopr.

image-classification-template

A PyTorch based template for image classification.

language-models-with-numpy

lightning-sam

Fine-tune Segment-Anything Model with Lightning Fabric.

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

modern-information-retrieval-project

My implementation for MIR Project at Sharif University of Technology - Spring 99-00

ms-mda

Code of paper MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition

ncrf

Cancer metastasis detection with neural conditional random field (NCRF)

plip

Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.

pytorch-cosine-annealing-with-warmup

pytorch cosine annealing with warmup with final epoch

pytorch-unet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

rest-api-task

Implementation of Smart Contract Engineering Internship Task

segpc2021

Multi-scale Regional Attention Deeplab3+: Multiple Myeloma Plasma Cells Segmentation in Microscopic Images

sit

Self-supervised vIsion Transformer (SiT)

transmil

TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification

transmil-visualisation