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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
Slides, material and solutions of the popular Statistical Learning course from Stanford's own Hastie & Tibshirani. Join me on my journey to finally try and complete this course after leaving it mid-way atleast 3-4 times due to other commitments!
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison
Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Course notes for Data Science related topics, prepared in LaTeX
A comprehensive list of tech conferences in India :india:
This repository contains the notebooks and presentations we use for our Databricks Tech Talks
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Computation using data flow graphs for scalable machine learning
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Character Recognition from scratch in TensorFlow using notMNIST data
Simple and ready-to-use tutorials for TensorFlow
TensorFlow Tutorial and Examples for Beginners with Latest APIs
Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project.
TensorFlow Tutorials with YouTube Videos
Simple tutorials using Google's TensorFlow Framework
Code accompanying the blog post "Deep Reinforcement Learning with TensorFlow 2.0"
Tensorflow chatbot demo by @Sirajology on Youtube
From the basics to slightly more interesting applications of Tensorflow
TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.
Example project for the course "Testing & Monitoring Machine Learning Model Deployments"
Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.
Text Classification Algorithms: A Survey
all kinds of text classification models and more with deep learning
A companion code for my Medium post
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.