Detect text in natural images with SSD, Single Shot Detection

My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection

Code and examples for JHU Computational Genomics class

Python version of Quantiacs toolbox and sample trading strategies

Code for our paper "Hamiltonian Neural Networks"

Transfer learning for music classification and regression tasks

Simple Encoder, Generator and Face Modificator with StyleGAN2

Structured Inference Networks for Nonlinear State Space Models

Documenting my python implementation of Andrew Ng's Machine Learning course

Applying Data Science and Machine Learning to Solve Real World Business Problems

Beaker Extensions for Jupyter Notebook

Explains nlp building blocks in a simple manner.

Movie plots by genre tutorial at PyData Berlin 2016

Code To Accompany YouTube Series Imaginary Numbers Are Real

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)

Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python's design philosophy emphasizes code readability with its notable use of significant white space. (This repository contains Python 3 Code)

Installations for Data Science. Anaconda, RStudio, Spark, TensorFlow, AWS (Amazon Web Services).

Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?