- New York City
- https://catchenal.github.io
Stars
Exploring categorical features with various encodings and models
SWARM: System-Wide Assessment of Risk in Multi-agent systems
A Python frontend to (Open Biomedical) Ontologies.
A comprehensive library for computational molecular biology
A python module for flexible Poisson-Boltzmann based pKa calculations with proton tautomerism
Ultimate Cheat Code you need in 2024.
Conversion of PDBx/mmCIF files to best effort/minimal PDB files
Style-preserving TOML library for Python
Friends don't let friends make certain types of data visualization - What are they and why are they bad.
Open source book about making Python packages.
Fast Open-Source Search & Clustering engine × for Vectors & Arbitrary Objects × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
A collection of automations and experiments exploring the applications of generative AI in Marketing, SEO, and Public Relations
A collection of script depicting the strange quirks of programming languages.
Turns Data and AI algorithms into production-ready web applications in no time.
Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
A GitHub Action CHANGELOG.md generator.
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
Create delightful software with Jupyter Notebooks
Area-weighted venn-diagrams for Python/matplotlib
freeCodeCamp.org's open-source codebase and curriculum. Learn math, programming, and computer science for free.
Resumes generated using the GitHub informations
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Interact with the Deep Search platform for new knowledge explorations and discoveries


