Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

Better GitHub statistics images for your profile, with stats from private repos too

Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

InterpretDL: Interpretation of Deep Learning Models，基于『飞桨』的模型可解释性算法库。

Multiplex: visualizations that tell stories—A Python library to create and annotate beautiful network graph visualizations, text visualizations and more.

Magic to display dynamic call graphs of Python function calls

Python implementation for TSP using Genetic Algorithms, Simulated Annealing, PSO (Particle Swarm Optimization), Dynamic Programming, Brute Force, Greedy and Divide and Conquer

Visualizations of Mittelmann benchmarks

Python API for reading and manipulating polygon data of Electronic Navigational Charts (ENC)

Fantasy Premier League Stats, Visualizations & Analysis. ⚽ 📊 📈

The project I made for the Atlassian Hack@Home challenge's final 4-hour individual hackathon where I won the 1st Prize from an initial pool of more than 2,000 students.

Generates the GitHub statistics for my profile

Using the Python Imaging Library (PIL, now Pillow) to generate colors and animate Moiré patterns.

One stop-shop for matplotlib based visualizations

Code for the paper " Exemplary Natural Images Explain CNN Activations Better than Feature Visualizations"

Make interactive scatterplots of atomic orbitals and animate them.

IonTorrent variant reporting pipeline for clinical interpretation of cancer panel results

Analysis of a cities dataset with 3 algorithms: K-means, K-medoids, and Bottom-Up Hierarchical Clustering

More practical use of Twint with ES and Kibana.

Python package for interactive visualization of imaging-based spatial transcriptomics