Auxiliary Classifier Generative Adversarial Networks in Keras

Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray

Python/Keras implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defined in Keras framework.

A tutorial for MNIST handwritten digit classification using sklearn, PyTorch and Keras.

Implementation of Deep Deterministic Policy Gradients using TensorFlow and OpenAI Gym

Text detection model that combines Retinanet with textboxes++ for OCR

Python tutorials for introduction to machine learning

A collection of tools to collect and download various data.

Scripts and code examples. Includes Spark notes, Jupyter notebook examples for Spark, Impala and Oracle.

Automatic image captioning model based on Caffe, using features from bottom-up attention.

A TensorFlow implementation of Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks (http://arxiv.org/pdf/1312.6082.pdf)

A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn

Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code.

Auto-ReID and Other Person Re-Identification Projects

Codes related to various ML Hackathons

Library extending Jupyter notebooks to integrate with Apache TinkerPop and RDF SPARQL.

Python code for the fast bilateral solver

A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.