Accuracy Python Packages

pycm

Multi-class confusion matrix library in Python

ratel-ai

Context engineering for AI agents. ~80% fewer tokens. Fix tool overload. Skills and memory with in-process BM25 retrieval. No vector DB. No embeddings.

binary-classification-ratios

Binary classification ratios gathered in one package.

accupy

Accurate sums and dot products for Python

model-compare

model-compare evaluates AI models side‑by‑side based on user tasks, rating accuracy, creativity, and efficiency to guide model choice.

top-k-models

Python Data Tool: Top-k classification and model selector

ci-methods-analyser

Analyse efficacy of your own confidence interval (CI) methods

skperopt

A hyperopt wrapper - simplifying hyperparameter tuning with Scikit-learn style estimators.

assistant-dialog-skill-analysis

Dialog Skill Analysis framework for Watson Assistant

mlscorecheck

Testing the consistency of binary classification performance scores reported in papers

vitae-parser

vitae-parser extracts and structures biographical details from unstructured text using pattern matching.

assistant-skill-analysis

Dialog Skill Analysis framework for Watson Assistant

deep-plots

📉 Visualize your Deep Learning training in static graphics

daze

Better multi-class confusion matrix plots for Scikit-Learn, incorporating per-class and overall evaluation measures.

lawhead-extractor

lawhead-extractor parses legal headlines, extracting parties, claim type and outcome using an LLM with pattern matching for accuracy.

structuredxtract

A new package is designed to simplify the process of extracting structured information from user-provided text inputs by leveraging a language model with pattern matching capabilities. The system prom

pdf-translate

Resumable PDF Translator with Google Translate and LLM support