Pinned Repositories
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
cheat-sheet
Data structures & algorithms cheat sheet
cs-7641-machine-learning
Code for assignments of the graduate course CS 7641: Machine Learning offered at Georgia Tech in Fall 2018.
ML-Applied-for-Physics
pwc
Papers with code. Sorted by stars. Updated weekly.
SDN-firewall
Externally configurable firewall using SDN switches as an alternative to traditional L2 switches
ballcap231's Repositories
ballcap231/ML-Applied-for-Physics
ballcap231/SDN-firewall
Externally configurable firewall using SDN switches as an alternative to traditional L2 switches
ballcap231/cheat-sheet
Data structures & algorithms cheat sheet
ballcap231/pwc
Papers with code. Sorted by stars. Updated weekly.
ballcap231/120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
ballcap231/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.
ballcap231/amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
ballcap231/baker-bayesian-analysis-in-docker
Baker Project: Dockerfile for Bayesian Analysis
ballcap231/caml-mimic
multilabel classification of EHR notes
ballcap231/cs-7641-machine-learning
Code for assignments of the graduate course CS 7641: Machine Learning offered at Georgia Tech in Fall 2018.
ballcap231/CS7641-Assignment4
ballcap231/deep-learning-model-convertor
The convertor/conversion of deep learning models for different deep learning frameworks/softwares.
ballcap231/deep-learning-papers
Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.
ballcap231/deploying-machine-learning-models
Example Repo for the Udemy Course "Deployment of Machine Learning Models"
ballcap231/ds-cheatsheets
List of Data Science Cheatsheets to rule the world
ballcap231/fireTS
A python multi-variate time series prediction library working with sklearn
ballcap231/grok_sdi_educative
Grokking the System Design Interview Course
ballcap231/katacoda-scenarios
Katacoda Scenarios
ballcap231/keras-tcn
Keras Temporal Convolutional Network.
ballcap231/knockknock
🚪✊Knock Knock: Be notified when your training ends with only two additional lines of code
ballcap231/Machine-Learning-Interviews
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
ballcap231/mlrose
Python package for implementing a number of Machine Learning, Randomized Optimization and SEarch algorithms.
ballcap231/MPM-test
ballcap231/Projects
ballcap231/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
ballcap231/serverless-machine-learning
Examples of deploying scikit, spaCy and Keras (TensorFlow) machine learning models to AWS Lambda with Serverless framework and Python 3.
ballcap231/spark-nlp-workshop
Public runnable examples of using John Snow Labs' NLP for Apache Spark.
ballcap231/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
ballcap231/tf_tutorial
ballcap231/tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.