mrzResearchArena

Anticancer-Peptides-CNN

Anticancer Peptide Identification employing Multi-headed Deep-CNN

BLAST

Easy Way to Generate PSSM from the FASTA Sequences

CSI_416

This page is for students who have taken "Pattern Recognition Lab (CSI 416)" this trimester under Dr. Dewan M. Farid. // [ Section : SA & SB. ]

IDE-Cheat-Sheet

IDE Shortcuts

iPromoter-FSEn

Feature Subspace Based Ensemble Classifier

iRecSpot

iRecSpot-EF: Effective Sequence Based Features for Recombination Hotspot Prediction

Linux

Daily Usages: Linux Commands

protein-clustering

Protein Clustering

PyFeat

A Python-based Effective Feature Generation Tool from DNA, RNA, and Protein Sequences

PyFeat-2.x

Biological Feature Representation Tool form the Sequences

mrzResearchArena/iRecSpot

iRecSpot-EF: Effective Sequence Based Features for Recombination Hotspot Prediction

mrzResearchArena/iPromoter-FSEn

Feature Subspace Based Ensemble Classifier

mrzResearchArena/Anticancer-Peptides

Datasets Generate for the Anticancer Peptides

mrzResearchArena/Big-Data-using-Python

Odin Python Courses

mrzResearchArena/CARD-RGI

mrzResearchArena/CompGCN

ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks

mrzResearchArena/Conway-Life-Games

Conway's Game of Life Hands-on Implementation

mrzResearchArena/deep-learning-coursera-1

Deep Learning Specialization by Andrew Ng on Coursera.

mrzResearchArena/Deep-Learning-Practice

mrzResearchArena/deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

mrzResearchArena/Deep-PyTorch

Learning PyTorch

mrzResearchArena/DeepPrime2Sec

mrzResearchArena/DiTaxa

Nucleotide-pair encoding of 16S rRNA sequences for host phenotype and biomarker detection

mrzResearchArena/Diverse-Image-Synthesis-from-Semantic-Layout

mrzResearchArena/dlaicourse

Notebooks for learning deep learning

mrzResearchArena/Intro-Deep

Deep Learning

mrzResearchArena/keras-unet

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

mrzResearchArena/Learn-Markdown

mrzResearchArena/Linear-Regression

Linear Regression Hands-on Implementation

mrzResearchArena/Logistic-Regression

mrzResearchArena/micrograd

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

mrzResearchArena/ncbi_blast_tutorial

Short introduction to command line NCBI blast tools

mrzResearchArena/NSTU-Machine-Learning-Bioinformatics

mrzResearchArena/numerical_stats

Introduction to Numerical Methods and Statistics with Jupyter Notebooks & Python

mrzResearchArena/pytorch_tutorial

PyTorch tutorial for PyData Berlin

mrzResearchArena/scarches

architecture surgery and transfer learning for single-cell

mrzResearchArena/stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

mrzResearchArena/structural-probes

Codebase for testing whether hidden states of neural networks encode discrete structures.

mrzResearchArena/Tic-Tac-Toe

mrzResearchArena/UVa-Solutions

This is my some "UVa solution code.