moDel Agnostic Language for Exploration and eXplanation

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

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.

Display outputs of each layer in CNN models

Powerful Python tool for visualizing and interacting with pre-trained Masked Language Models (MLMs) like BERT. Features include self-attention visualization, masked token prediction, model fine-tuning, embedding analysis with PCA/t-SNE, and SHAP-based model interpretability.

Code to visualize how different layers view the input when the output is changed. Also visualize the salient features as seen by the input image

Easy-to-use UI based tool that visualizes the internal layers and activations of any Pytorch network that takes image as input , built using PyQt

This will utilize neural network and machine learning models to paper trade on the stock market.