sbairishal Goto Github PK

advanced-data-structures-with-python

Self written codes for Advanced Data Structures and Algorithms using Python. With each code, there is an associated markdown for explanation and applicaitions of that algorithm or data structure.

artificial-intelligence-deep-learning-machine-learning-tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome_time_series_in_python

This curated list contains python packages for time series analysis

cccs936

CCCS936 - Data Science

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

codepath-alumni-professional-interview-prep-course

My code solutions and other materials for the November 2017 - Febuary 2018 CodePath Alumni Professional Interview Prep course -- see the README for descriptions and links

computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

cookbook

The Data Engineering Cookbook

cs-video-courses

List of Computer Science courses with video lectures.

data-science

:bar_chart: Path to a free self-taught education in Data Science!

data-science-career

Data Science, Machine Learning, Big Data and Business Analytics Career Repository

data-science-learning-resources

A collection of machine learning resources that I've found helpful (I only post what I've read!)

datashark

dataShark is a Security & Network Event Analytics Framework built on Apache Spark

deep-learning

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep_learning_challenge_one

This repository contains scripts shared during Deep Learning Challenge #1.

dl_topics

List of DL topics and resources essential for cracking interviews

featexp

Feature exploration for supervised learning

flint

A Time Series Library for Apache Spark

geospatial_data_with_python

Introduction to Geospatial Data with Python

google-interview-university

A complete daily plan for studying to become a Google software engineer.

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

instacart

2nd place solution

interviews

CS interview study sheet

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

keras-resources

Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library

komiser

AWS Environment Inspector 👮