Pinned Repositories
amazon-sagemaker-examples
Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
amazon-textract-comprehend-OCRimage-search-and-analyze
We will be using Amazon Textract, Amazon Comprehend, Amazon Elasticsearch with Kibana, Amazon S3, Amazon Cognito to search and analyze over large number of images.
ARGUS
ARGUS is an easy-to-use web scraping tool. The program is based on the Scrapy Python framework and is able to crawl a broad range of different websites. On the websites, ARGUS is able to perform tasks like scraping texts or collecting hyperlinks between websites. See: https://link.springer.com/article/10.1007/s11192-020-03726-9
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
awesome-osint
:scream: A curated list of amazingly awesome OSINT
awesome-quantum-machine-learning
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
Blackstone
:black_circle: A spaCy pipeline and model for NLP on unstructured legal text.
blog_by_hugo
My blog, built with blogdown and Hugo :link:
blogdown
My first blogdown website
code_snippets_corey_schafer
vamsi1905's Repositories
vamsi1905/amazon-sagemaker-examples
Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
vamsi1905/amazon-textract-comprehend-OCRimage-search-and-analyze
We will be using Amazon Textract, Amazon Comprehend, Amazon Elasticsearch with Kibana, Amazon S3, Amazon Cognito to search and analyze over large number of images.
vamsi1905/ARGUS
ARGUS is an easy-to-use web scraping tool. The program is based on the Scrapy Python framework and is able to crawl a broad range of different websites. On the websites, ARGUS is able to perform tasks like scraping texts or collecting hyperlinks between websites. See: https://link.springer.com/article/10.1007/s11192-020-03726-9
vamsi1905/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
vamsi1905/awesome-osint
:scream: A curated list of amazingly awesome OSINT
vamsi1905/awesome-quantum-machine-learning
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
vamsi1905/Blackstone
:black_circle: A spaCy pipeline and model for NLP on unstructured legal text.
vamsi1905/blog_by_hugo
My blog, built with blogdown and Hugo :link:
vamsi1905/blogdown
My first blogdown website
vamsi1905/code_snippets_corey_schafer
vamsi1905/fastai
The fastai deep learning library, plus lessons and tutorials
vamsi1905/github-slideshow
A robot powered training repository :robot:
vamsi1905/leetcode
Python & JAVA Solutions for Leetcode
vamsi1905/MathematicalArt
vamsi1905/newsapi-python
A Python Client for News API
vamsi1905/numerical-linear-algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
vamsi1905/osint_stuff_tool_collection
A collection of several hundred online tools for OSINT
vamsi1905/pandas_exercises
Practice your pandas skills!
vamsi1905/PySimpleGUI
Launched in 2018 Actively developed and supported. Supports tkinter, Qt, WxPython, Remi (in browser). Create custom layout GUI's simply. Python 2.7 & 3 Support. 200+ Demo programs & Cookbook for rapid start. Extensive documentation. Examples using Machine Learning(GUI, OpenCV Integration, Chatterbot), Floating Desktop Widgets, Matplotlib + Pyplot integration, add GUI to command line scripts, PDF & Image Viewer. For both beginning and advanced programmers .
vamsi1905/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
vamsi1905/quantum-machine-learning
This repo is to contain material from the University of Toronto Quantum Machine Learning Course by Prof. Peter Wittek on edX
vamsi1905/qutip
QuTiP: Quantum Toolbox in Python
vamsi1905/R-Projects
Repo for all R projects
vamsi1905/SpaceScienceTutorial
This repository is part of a "Space Science with Python" tutorial series. The corresponding articles that explain each part are available on Medium (https://medium.com/@thomas.albin). If you do not have a Medium account, please visit my posts on Reddit, to get the free available Medium friend links (https://www.reddit.com/user/MrAstroThomas).
vamsi1905/Spark-with-Python
Fundamentals of Spark with Python (using PySpark), code examples
vamsi1905/sql_book
vamsi1905/TamilSpellChecker
vamsi1905/Text-Mining
Text Extraction and Topic Modeling using R
vamsi1905/text-mining-1
Text Categorization Basics
vamsi1905/XGBoost-in-Insurance-2017
Data and Code to reproduce results for my talk at Paris: R in Insurance 2017 Conference