Model Visualization Python Packages

dalex

moDel Agnostic Language for Exploration and eXplanation

chitra

A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.

tensorwatch

Debugging, monitoring and visualization for Python Machine Learning and Data Science

silver-torch

Inspectable PyTorch training with visual layer shapes, activations, sparsity, gradients, and topology.

silver-adapters

Portable ML bridges and visual neural-network topology across PyTorch, Keras, TensorFlow, and serialized models.

silver-lang

Local-first ML experiments with complete visual explanations from data and layers to gradients, health, and replay.

evalcards

Librería Python para generar reportes de evaluación (clasificación, regresión, forecasting) con métricas y gráficos listos en Markdown, JSON y pronto HTML.

draughtsman-nn

Readable architecture diagrams for PyTorch models. The tracer supplies the facts, an agent supplies the abstraction, and a coverage check proves nothing was silently dropped.

forestplotx

Publication-ready forest plots for regression models (logistic, linear, gamma, ordinal) in Python.

classification-report

This repo helps to track model Weights, Biases and Gradients during training with loss tracking and gives detailed insight for Classification-Model Evaluation

litecnn

LiteCNN: Intuitive Python library for creating, training and visualizing convolutional neural networks. Features simplified CNN layer definition, automated training workflows, model visualization, and seamless Keras-to-ONNX conversion. Includes 15 pre-configured popular models for immediate use.

tensorwatchetx

Debugging, monitoring and visualization for Python Machine Learning and Data Science