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MACS -- Model-based Analysis of ChIP-Seq
Count number of parameters / MACs / FLOPS for ONNX models.
A SwiftUI package for creating smooth gradients using easing functions.
FLOPs and other statistics COunter for Pytorch neural networks
MethodsCmp: A Simple Toolkit for Counting the FLOPs/MACs, Parameters and FPS of Pytorch-based Methods
All assignments, labs and the final project are completed in class CSCI 3901(Software Development Concepts) of MACS at Dalhousie University. CSCI 3901 SDC Dalhousie University.
A general and accurate RAM / MACs / FLOPs profiler for ONNX models (Currently work-in-progress)
All assignments and the final project are completed in class CSCI5308 (Advanced Software Development Concepts) of MACS at Dalhousie University. CSCI5308 ASDC Dalhousie University.
All assignments and the final project are completed in class CSCI 5308 (Advanced Software Development Concepts) of MACS at Dalhousie University. CSCI 5308 ASDC Dalhousie University.
All tutorials are completed in class CSCI 5709 (Advanced Web Services) of MACS at Dalhousie University. This repository contains a total of 6 tutorials. CSCI 5709 AWS Dalhousie University.
Keeping the environment clean is our motive. Hence the project name EnviClean. It is a garbage collection management system developed by Advanced Web Services - Group6_S21.
MACS Landup website using HTML, CSS, vanilla Js.
Snakemake Pipeline for the Analyses of ChIP-seq data in Cancer samples
Peak calling optimization via real time results assessment and interactive parameter adjustment.