MACS -- Model-based Analysis of ChIP-Seq
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Apr 8, 2026 - Python
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macs
Here are 10 public repositories matching this topic...
Count number of parameters / MACs / FLOPS for ONNX models.
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Oct 26, 2024 - Python
FLOPs and other statistics COunter for Pytorch neural networks
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Apr 9, 2026 - Python
MethodsCmp: A Simple Toolkit for Counting the FLOPs/MACs, Parameters and FPS of Pytorch-based Methods
python fps parameters memory pytorch macs fps-counter flops flops-counter memory-counter macs-counter parameter-counter
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May 13, 2024 - Python
Terminal-native cockpit for AI-first software engineering — protocol-driven sidecar across Claude Code, Codex CLI, OMX, OMCC and beyond.
cli terminal ai protocol tui multi-agent developer-tools ai-agents macs ai-cli ai-workflow claude-code codex-cli
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Apr 17, 2026 - Python
complexity estimation utility of neural network
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Jun 21, 2020 - Python
Snakemake Pipeline for the Analyses of ChIP-seq data in Cancer samples
somatic-variants mutation gatk mutations chip-seq somatic-mutations normalization mutation-analysis copynumber macs chip-seq-callers macs2 chipseq somatic-indels gatk4 chip-seq-data chip-seq-analysis chip-seq-peaks somatic-variant
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Oct 18, 2025 - Python
A reproducible benchmarking pipeline for machine learning models, focused on analyzing inference efficiency. It captures CPU utilization, MACs, memory consumption (RSS), model size, and runtime-specific resource demands, combined with hardware-aware profiling for consistent cross-system evaluation.
benchmarking machine-learning inference pytorch performance-analysis cpu-usage macs onnx ml-models resource-monitoring hardware-profiling
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Apr 7, 2026 - Python
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