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Name: Thiyagarajan Palaniyappan
Type: User
Bio: Generative AI Architect
Twitter: plthiyagu
Location: San Francisco California
Name: Thiyagarajan Palaniyappan
Type: User
Bio: Generative AI Architect
Twitter: plthiyagu
Location: San Francisco California
This repo is for practicing SQL for Data Science
A simple chatbot in the Rasa NLU framework that uses the concept of intent, entities, domain and stories.
100 Days of ML Coding
100+ python programming exercise problem discussed ,explained and solved in different ways
Answers to 120 commonly asked data science interview questions.
I will update this repository to learn Machine learning with python with statistics content and materials
30 days of Python programming challenge is a step by step guide to learn Python programming language in 30 days.
Here, I will be uploading all my notes and work that I did in these 30 days.
I am sharing my Journey of 300DaysOfData in Machine Learning and Deep Learning.
365 Days Computer Vision Learning Linkedin Post
I am sharing my Journey of 66DaysofData in Natural Language Processing.
Fast and flexible AutoML with learning guarantees.
Credit card fraud detection using kafka,scikit,flask,cassandra
This repository is to host template for calculating ROI on Artificial Intelligence projects
Some approaches based on deep learning to build the acoustic model for an end-to-end automatic speech recognition (ASR) pipeline.
The beauty of Algorithm
Practice Algorithms
Minimal examples of data structures and algorithms in Python
All Algorithms explained in simple English Language with example and links to their implementation in various programming languages and other required resources.
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
A reproducible containerized environment with CUDA X, Anaconda, TensorFlow-GPU, Keras-GPU, Dask, and PyCUDA.
There are several exploratory data analysis (EDA) analyzes in this file. More data analytics and business approached than machine learning.
Codes related to activities on AV including articles, hackathons and discussions.
Contains demo codes for the course Applied Natural Language Processing
Introduction to unsupervised anomaly detection
Applied Deep Learning with Python, published by Packt
📚 Papers by organizations sharing their work on applied data science & machine learning.
The art of effective visualization of multi-dimensional data
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! 😀)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.