peymanvahidi/awesome-claude-dynamic-workflows
How Claude's Dynamic Workflows work?
How Claude's Dynamic Workflows work?
Unleash MMseqs2’s power for your protein and nucleotide sequence analysis. Fast, simple, seamless!
Biological prediction models made simple.
Croissant is a high-level format for machine learning datasets that brings together four rich layers.
This is a project for Munich Hacking Legal Hackathon 2026
Dion optimizer algorithm
Makes Croissant for a set of files
The repository for creating a command line integration for biocypher software components
Backend library for conversational AI in biomedicine
Machine learning pipeline predicts protein signal peptides.
My Personal Repository
Discover a glimpse into my programming skills as you peruse my collection of personal projects, crafted during my coursework.
[CVPR 2021] Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion. Semi-supervised VOS as well!
Notebooks using the Hugging Face libraries 🤗
The Hugging Face course on Transformers
This project builds a Profile Hidden Markov Model (HMM) for the Kunitz-type protease inhibitor domain, used to determine the optimal e-value threshold for binary classification from HMM search results.
Computer vision project leveraging Vertex AI API for Gemini Pro. Implemented Streamlit for web interface.
End-to-end MLOps project: Simple classification with MobileNetV2, automated pipelines, Flask interface, and AWS deployment. A blend of challenges and insights into MLOps.
Python Class Repo