Rama Kotipatruni's repositories
100-Days-Of-ML-Code
100 Days of ML Coding
1999_Czech_financial_dataset_Teradata
Real world transactions in the years 1993 to 1999 from a Czech bank, modified for loading into Teradata.
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-public-datasets
A topic-centric list of HQ open datasets. PR ☛☛☛
AWS-CSA-2019-study-notes
My Study Notes for the AWS Certified Solutions Architect - Associate 2019
Books
Collection of Programming, Databases, Linux & Tools Books
Computer-Vision-and-Deep-Learning-Setup
Tutorial on how to setup your system with a NVIDIA GPU and to install Deep Learning Frameworks like TensorFlow, Darknet for YOLO, Theano, and Keras; OpenCV; and NVIDIA drivers, CUDA, and cuDNN libraries on Ubuntu 16.04, 17.10 and 18.04.
computer-vision-guide
:book: This guide is to help you understand the basics of the computerized image and develop computer vision projects with OpenCV. Includes Python, Java, JavaScript, C# and C++ examples.
Data-Science--Cheat-Sheet
Cheat Sheets
datasharing
The Leek group guide to data sharing
Deep-Learning-for-Medical-Applications
Deep Learning Papers on Medical Image Analysis
deep-review
A collaboratively written review paper on deep learning, genomics, and precision medicine
educate-resource-for-machine-learning
This ebook from Jason Brownlee. Educational perpose only! Thanks to Jason for the books.
five-dollar-genome-analysis-pipeline
Workflows used for germline short variant discovery in WGS data
gatk4-somatic-cnvs
Workflows for somatic copy number variant discovery with GATK4
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.
In-depth-NGS-Data-Analysis-Course
Materials for 12-day course on analyzing RNA-Seq, ChIP-Seq and variant calling data.
machine-learning-books
this is a fork of collection of books for machine learning.
matplotlib
matplotlib: plotting with Python
mit-deep-learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
models
Sample Models for PipelineAI
pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Python-for-Data-Science-and-Machine-Learning-Bootcamp
program with Python, how to create amazing data visualizations, and how to use Machine Learning with Python! Here a just a few of the topics we will be learning: Programming with Python NumPy with Python Using pandas Data Frames to solve complex tasks Use pandas to handle Excel Files Web scraping with python Connect Python to SQL Use matplotlib and seaborn for data visualizations Use plotly for interactive visualizations Machine Learning with SciKit Learn, including: Linear Regression K Nearest Neighbors K Means Clustering Decision Trees Random Forests Natural Language Processing Neural Nets and Deep Learning Support Vector Machines and much, much more!
scikit-learn
scikit-learn: machine learning in Python
seqCAT
A Bioconductor R-package for cell evaluation, characterisation and authentication using high throughput sequencing data.
spark
Apache Spark
StructuralVariantAnnotation
R package designed to simplify structural variant analysis