MACS -- Model-based Analysis of ChIP-Seq
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Updated
May 16, 2024 - Cython
MACS -- Model-based Analysis of ChIP-Seq
MethodsCmp: A Simple Toolkit for Counting the FLOPs/MACs, Parameters and FPS of Pytorch-based Methods
This is my custom profile.
Snakemake Pipeline for the Analyses of ChIP-seq data in Cancer samples
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.
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 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.
All assignments and the final project are completed in class CSCI5308 (Advanced Software Development Concepts) of MACS at Dalhousie University. CSCI5308 ASDC Dalhousie University.
Count number of parameters / MACs / FLOPS for ONNX models.
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.
FLOPs and other statistics COunter for Pytorch neural networks
MACS Landup website using HTML, CSS, vanilla Js.
complexity estimation utility of neural network
Macs2 wrapper, which automatically makes data hub from the output files
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