Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
- pandas
- pandas-summary
- dataframes
- data-science
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Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.
skimpy is a light weight tool that provides summary statistics about variables in data frames within the console.
A Python native dynamical system simulation framework in the block diagram paradigm.
3-D Scientific Visualization in the Jupyter Notebook
Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
Code for PaperRobot: Incremental Draft Generation of Scientific Ideas
cell detection in calcium imaging recordings
Python-centric Cookiecutter for Molecular Computational Chemistry Packages
scikit-learn inspired API for CRFsuite
Benchmarking analysis of data integration tools
Reconquer the canvas: beautiful Tikz figures without clunky Tikz code
Python library for multilinear algebra and tensor factorizations
Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.
Multiple Pairwise Comparisons (Post Hoc) Tests in Python
A set of tools for creating and testing machine learning features, with a scikit-learn compatible API
TranslatedMedical paper writing and research assistant: 32 Agent Skills for Chinese physicians and medical graduate students, usable with Claude Code and Codex, covering topic selection, PubMed literature search, Chinese and English writing, journal selection and submission, and peer review and revision. Medical writing & research skills.
Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot
FOREST is a research agent for long-horizon science, where evidence gets lost, errors compound, and goals drift. It explores ideas, reads literature, forms hypotheses, runs real experiments, analyzes results, revises paths, and builds a full paper—all in an editable graph you can inspect, branch, redirect, with claims and figures linked to evidence
The official implementation of 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction (ICLR 2023)
Code for the paper “The Alien Space of Science: Sampling Coherent but Cognitively Unavailable Research Directions”
A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
Genetic feature selection module for scikit-learn
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