vamsikavuru Goto Github PK

jupyter-tabnine

Autocompletion with Deep Learning on Jupyter Notebook

kafka-streams

tutorial code for apache samza

kafka-streams-machine-learning-examples

This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built with Python, H2O, TensorFlow, Keras, DeepLearning4 and other technologies.

kalman-filter-course-assignments

Assignments for my Udemy course on Kalman Filters.

keras

Deep Learning for humans

keras-preprocessing

Utilities for working with image data, text data, and sequence data.

kneed

Knee point detection in Python :chart_with_upwards_trend:

krish-naik

learning-opencv-4-computer-vision-with-python-third-edition

Learning OpenCV 4 Computer Vision with Python 3 – Third Edition, published by Packt

leetcode-in-python-50-algorithms-coding-interview-questions

Implementation of the coding interview questions for the "Leetcode in python 50 Algorithms Coding Interview Questions" Course on udemy

machine-learning-books

machine-learning-course

Cornell Data Science Training Course Website

machine-learning-data-pipeline

Pipeline module for parallel real-time data processing for machine learning models development and production purposes.

machine-learning-in-90-days

machine-learning-interview

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

machine-learning-interview-questions

This repository is to prepare for Machine Learning interviews.

machine-learning-interviews

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

machine-learning-projects

Machine Learning Experiments and Work

machine-learning-roadmap

A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.

machine_learning_examples

A collection of machine learning examples and tutorials.

machinehack

made-with-ml

Learn how to design, develop, deploy and iterate on production-grade ML applications.

mastering-computer-vision-with-tensorflow-2.0

Mastering Computer Vision with TensorFlow 2.0, published by Packt

mastering-opencv-4-with-python

Mastering OpenCV 4 with Python, published by Packt

mastering-scipy

ipython notebooks for the book "Mastering Scipy"

matplotlib-cheatsheet

Matplotlib 3.1 cheat sheet.

mglearn

mglearn helper package for "Introduction to Machine Learning with Python"

micronaut-jupyter

A Micronaut configuration that integrates your app with an existing Jupyter installation.

microtrader

A fictitious stock trading microtrader application

mindsdb

In-Database Machine Learning