anwarkhan345 Goto Github PK

anwar-khan.github.io

Project Description - BMIS Lab

anwerkhan345

awesome-public-datasets

A topic-centric list of HQ open datasets.

awesome-transfer-learning

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

benchmarks

ECP-CANDLE Benchmarks

cervixformer

A Multi-scale Swin Transformer-based Cervical Pap-Smear WSI Classification Framework

clust

Automatic and optimised consensus clustering of one or more heterogeneous datasets

containers-workshop

Materials for the workshop on containers

ctgan

Conditional GAN for Tabular Data

datawig

Imputation of missing values in tables.

deep-bind-tensorflow

TF-binding CNN model, trained on ChIP-SEQ sequence data to predict dna-protein binding interactions.

deepga

deepgene-transformer

deeplearning-biology

A list of deep learning implementations in biology

deeplift

Public facing deeplift repo

dna-sequence-machine-learning

Understand DNA structure and how machine learning can be used to work with DNA sequence data.

feature-selection-for-machine-learning

Methods with examples for Feature Selection during Pre-processing in Machine Learning.

geneexpimgtl

TL with CNN for cancer survival prediction using gene-expression data

ieee_bhi_2023

COVID19 Bioinformatics scRNA Target Challenge BHI

karateclub

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

knn-smoothing

K-nearest neighbor smoothing for high-throughput single-cell RNA-Seq data

late

Imputation of single cell RNA-sequencing data with autoencoder

machinelearningsabkayliey

Repository for the online machine learning course.

miccai_2020-weakly_supervised_tutorial

Material of the MICCAI 2020 tutorial on weakly supervised learning for semantic segmentation

missingpy

Missing Data Imputation for Python

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

ml-tc1

Deep-Learning (Convolutional Neural Network) modeling procedure to classify Cancer/tumor Sites/types.

mlxtend

A library of extension and helper modules for Python's data analysis and machine learning libraries.

multitask-learning

Awesome Multitask Learning Resources

python-on-gpus

Repository for the training on using GPUs from Python.