Skip to main content
Pavel-Kravchenko
GitHub creator profile

Pavel-Kravchenko

Repository-level view of 213 collected skills across 1 GitHub repositories.

skills collected
213
repositories
1
updated
Jul 3, 2026
repository map

Where the skills live

Top repositories by collected skill count, with their share of this creator catalog and occupation spread.

repository explorer

Repositories and representative skills

advanced-string-structures
software-developers

Build tries, Aho-Corasick, and suffix arrays with Kasai LCP to index DNA/text and match many patterns in one pass. Use for genome motif scanning, k-mer indexing, longest-repeat search, or BWA/FM-index groundwork.

Jul 3, 2026
ai-science-alphafold-protein-design
software-developers

Interpret AlphaFold2/AF3 pLDDT/PAE scores, fetch AlphaFold DB models by UniProt ID, and rank RFdiffusion/ProteinMPNN designs. Use when asked about pLDDT, PAE, AF2 vs AF3, AlphaFold DB fetch, or design triage.

Jul 3, 2026
ai-science-diffusion-generative-models
software-developers

Code DDPM/DDIM diffusion samplers, linear/cosine noise schedules, and DDRM inverse-problem solving (denoising, inpainting, super-resolution) in NumPy/PyTorch. Use for forward/reverse diffusion, score matching, or DDIM sampling.

Jul 3, 2026
ai-science-enformer-regulatory
software-developers

Predict CAGE/DNase/ATAC/ChIP-seq tracks from raw DNA with Enformer/Borzoi, run in-silico mutagenesis (ISM), and score noncoding variant effects. Use when predicting enhancer/promoter activity from sequence, running ISM, scoring a noncoding SNP, or…

Jul 3, 2026
ai-science-epigenomic-sequence-models
software-developers

Choose Borzoi (RNA-seq coverage, 32bp) vs Epiformer (sequence+PhyloP, chromatin accessibility) vs AlphaGenome for epigenomic prediction. Use when picking a model for RNA-seq, ATAC/DNase, or variant-effect scoring.

Jul 3, 2026
ai-science-esm2-embeddings
software-developers

Generate ESM2 protein embeddings (fair-esm/transformers) and predict structure with ESMFold. Use when embedding sequences, scoring mutations zero-shot, annotating protein function, or doing fast MSA-free structure prediction.

Jul 3, 2026
ai-science-geneformer-scgpt
software-developers

Tokenize scRNA-seq via Geneformer gene-rank or scGPT expression-bin encoding; annotate cell types, simulate in-silico knockouts. Use for foundation-model cell annotation, Geneformer/scGPT tokenization, or perturbation prediction.

Jul 3, 2026
ai-science-genomic-llms
software-developers

Embed DNA with genomic foundation models (Nucleotide Transformer, HyenaDNA, Evo) via HuggingFace transformers; k-mer tokenize, probe promoter motifs. Use for DNA LLMs, genomic embeddings, or NT/HyenaDNA/Evo choice.

Jul 3, 2026
Showing 8 of 213 collected skills.
Showing 1 of 1 repositories
All repositories loaded