Ali Balapour's repositories
Compact-SiT
Compact Self-Supervised Vision Transformer (cSiT) on Histopathology Images
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"
Image-Classification-Template
A PyTorch based template for image classification.
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-Transformers
[Preprint] Escaping the Big Data Paradigm with Compact Transformers, 2021
convmixer-cifar10
Simple CIFAR-10 classification with ConvMixer
Foundation-TransMIL
Course project for UBC EECE 570 2023W2.
HATNet
SA-Diagnet: Self-attention-based network for diagnosing histopathological images
Modern-Information-Retrieval-Project
My implementation for MIR Project at Sharif University of Technology - Spring 99-00
REST-API-Task
Implementation of Smart Contract Engineering Internship Task
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.
lightning-sam
Fine-tune Segment-Anything Model with Lightning Fabric.
mae
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
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
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