Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshops

Code and examples for JHU Computational Genomics class

Food detection and recommendation with deep learning

Detect text in natural images with SSD, Single Shot Detection

Deep fusion project of deeply-fused nets, and the study on the connection to ensembling

Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.

Explains nlp building blocks in a simple manner.

Movie plots by genre tutorial at PyData Berlin 2016

Structured Inference Networks for Nonlinear State Space Models

This is the code for "Predicting the Winning Team with Machine Learning" by Siraj Raval on Youtube

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

Beaker Extensions for Jupyter Notebook

Contains files related to content and project of DSND

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

Generating multiple choice questions from text using Machine Learning.

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

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

Code for our paper "Hamiltonian Neural Networks"

Python version of Quantiacs toolbox and sample trading strategies