AI Chip
basicmi
A list of ICs and IPs for AI, Machine Learning and Deep Learning.
OPENAGENTSKILL / DIRECTORY
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Results: 26
basicmi
A list of ICs and IPs for AI, Machine Learning and Deep Learning.
scverse
A Python implementation of the DESeq2 pipeline for bulk RNA-seq DEA.
K-Dense-AI
End-to-end bulk RNA-seq orchestrator — takes raw FASTQ reads through QC and trimming (FastQC, fastp/Trim Galore), alignment and quantification (STAR, Salmon, featureCoun…
remotemcu
Array of MCU's driver SDKs prepared for effortless remote management of the MCU's peripherals
omicverse
A python library for multi omics included bulk, single cell and spatial RNA-seq analysis.
COMBINE-lab
🐟 🍣 🍱 Highly-accurate & wicked fast transcript-level quantification from RNA-seq reads using selective alignment
agitter
An overview of algorithms for estimating pseudotime in single-cell RNA-seq data
K-Dense-AI
Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, sin…
foryourhealth111-pixel
Unified biological database evidence owner. Use for gene annotation, variant clinical significance, cancer mutation evidence, GWAS trait associations, pathway mapping, t…
cafferychen777
Cell type annotation for single-cell RNA-seq using multi-LLM consensus
kreuzwerker
CLI to support with downloading and compiling terraform providers for Mac with M1 chip
Q-transmon-xmon
EDA-Q is a full-stack electronic design automation (EDA) tool for quantum chip design, supporting both superconducting and trapped-ion quantum computing architectures. T…
AlterLab-IEU
Predict genome-wide functional genomics tracks from DNA sequence with Borzoi (Linder 2025) — a sequence-to-function model outputting RNA-seq, CAGE, ATAC, and ChIP covera…
ai-hpc
Master AI inference, AI agent harness systems, and hardware engineering — then design a physical AI chip. That is the goal.
jaechang-hits
197 bioinformatics & life science skills for Claude Code and AI agents — BixBench 92.0% accuracy. RNA-seq, single-cell, drug discovery, proteomics, and more. Powers Omic…
jaechang-hits
Best practices for single-cell RNA-seq cell type annotation including marker-based, reference-based, and automated classification approaches.
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