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An electronic simulation library written in pure Python

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General Assembly's Data Science course in Washington, DC

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Home for Elasticsearch examples available to everyone. It's a great way to get started.

an numpy-based implement of PointRend

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This is the code for the "Classifying Data using Gradient Descent" by Siraj Raval on Youtube

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Some code examples gathered during my Month of Julia.

Material for the tutorial: "Deep Diving into GANs: from theory to production"

Python code for the fast bilateral solver

Python is a multi-paradigm programming language. Meaning, it supports different programming approach. One of the popular approach to solve a programming problem is by creating objects. This is known as Object-Oriented Programming (OOP).

Implemented digit detector in natural scene using resnet50 and Yolo-v2. I used SVHN as the training set, and implemented it using tensorflow and keras.

This Jupyter Notebook will help you downloading Coursera videos, subtitles and quizzes (but not answering the quiz). It will automatically download and convert vtt subtitle files into srt. All resources downloaded are numbered according to their sequence.

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

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A crash course in six episodes for software developers who want to become machine learning practitioners.

MLSS 2018 Madrid lecture materials on Generative Adversarial Networks (GANs)

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.

Progressive training of GANs with Mutual Information Penalty

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a sklearn wrapper for Google's BERT model

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

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Simplified implementations of deep learning related works

A seq2seq model that can correct spelling mistakes.

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