ballcap231

ML-Applied-for-Physics

SDN-firewall

Externally configurable firewall using SDN switches as an alternative to traditional L2 switches

cheat-sheet

Data structures & algorithms cheat sheet

pwc

Papers with code. Sorted by stars. Updated weekly.

120-Data-Science-Interview-Questions

Answers to 120 commonly asked data science interview questions.

ABAGAIL

The library contains a number of interconnected Java packages that implement machine learning and artificial intelligence algorithms. These are artificial intelligence algorithms implemented for the kind of people that like to implement algorithms themselves.

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

baker-bayesian-analysis-in-docker

Baker Project: Dockerfile for Bayesian Analysis

caml-mimic

multilabel classification of EHR notes

cs-7641-machine-learning

Code for assignments of the graduate course CS 7641: Machine Learning offered at Georgia Tech in Fall 2018.

CS7641-Assignment4

deep-learning-model-convertor

The convertor/conversion of deep learning models for different deep learning frameworks/softwares.

deep-learning-papers

Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

ds-cheatsheets

List of Data Science Cheatsheets to rule the world

fireTS

A python multi-variate time series prediction library working with sklearn

grok_sdi_educative

Grokking the System Design Interview Course

katacoda-scenarios

Katacoda Scenarios

keras-tcn

Keras Temporal Convolutional Network.

knockknock

🚪✊Knock Knock: Be notified when your training ends with only two additional lines of code

Machine-Learning-Interviews

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

mlrose

Python package for implementing a number of Machine Learning, Randomized Optimization and SEarch algorithms.

MPM-test

Projects

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

serverless-machine-learning

Examples of deploying scikit, spaCy and Keras (TensorFlow) machine learning models to AWS Lambda with Serverless framework and Python 3.

spark-nlp-workshop

Public runnable examples of using John Snow Labs' NLP for Apache Spark.

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

tf_tutorial

tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.