Rafsanjani, Muhammod (mrzResearchArena)

mrzResearchArena

Geek Repo

Company:@RafsanjaniLab

Location:Philadelphia, PA, USA

Home Page:http://rafsanjani.pythonanywhere.com/

Twitter:@RafsanjaniLab

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Rafsanjani-BioHub

Rafsanjani, Muhammod's repositories

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. ]

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iPromoter-FSEn

Feature Subspace Based Ensemble Classifier

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Anticancer-Peptides

Datasets Generate for the Anticancer Peptides

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Big-Data-using-Python

Odin Python Courses

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CompGCN

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

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Conway-Life-Games

Conway's Game of Life Hands-on Implementation

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deep-learning-coursera-1

Deep Learning Specialization by Andrew Ng on Coursera.

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deep-learning-v2-pytorch

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

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Deep-PyTorch

Learning PyTorch

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DiTaxa

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

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dlaicourse

Notebooks for learning deep learning

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Intro-Deep

Deep Learning

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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

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Linear-Regression

Linear Regression Hands-on Implementation

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micrograd

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

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ncbi_blast_tutorial

Short introduction to command line NCBI blast tools

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numerical_stats

Introduction to Numerical Methods and Statistics with Jupyter Notebooks & Python

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pytorch_tutorial

PyTorch tutorial for PyData Berlin

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scarches

architecture surgery and transfer learning for single-cell

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stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

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structural-probes

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

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UVa-Solutions

This is my some "UVa solution code.

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