drapt Goto Github PK

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

biosppy

Biosignal Processing in Python

cinc-challenge2017

ECG classification from short single lead segments (Computing in Cardiology Challenge 2017 entry)

cookbook

The Data Engineering Cookbook

cs5012

database_sandbox

resources for working with databases and SQL

deep-q-learning

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

dl-4-tsc

Deep Learning for Time Series Classification

ds-4001

DS 4001: Practice of Data Science

ds2001

ds5110

DS 5110 Big Data Systems

ecg

Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network

flair

A very simple framework for state-of-the-art Natural Language Processing (NLP)

intro_data_science_course

lstm-stock-prices

This project goal is to demonstrate how to use LSTM networks and apply in some real data.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

questgen.ai

Question generation using state-of-the-art Natural Language Processing algorithms

sepsisrl

Reinforcement Learning for optimal sepsis treatment policies

spark

Apache Spark

spinningup

An educational resource to help anyone learn deep reinforcement learning.

ucsb_bigdataanalytics

uva_datascience