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This notebook contains a basic analysis of some tagged feedbacks borrowing techniques from NLP. Each feedback can have multiple tags. The goal is to tag a new feedback.
It contains the importance of hyperparameter tuning to extract the best performance out of a machine learning model given the data.
Contains files for the Project
Contains the files from Deep Learning
Intro to Artificial Intelligence (Don't steal my code bro!)
This repo contains the necessary info regarding the Conformal Prediction. It specifically contains references that I am going to use for my project but also contains reference to other more extensive github resources
This repo contains information regarding Diffusion Models and Bayesian Statistics
Plotting Assignment 1 for Exploratory Data Analysis
Contains reference papers and other info related to Graph Neural Network
Resources on fine tuning LLMs on specific set of data
Content for Udacity's Machine Learning curriculum
Contains information about MLops resources such as the Stanford course and GokuMahandas's course(highly recommended)
Contains information and resources about Monitoring Data Drift
This is where I keep all my working codes (optimized or not)
Contains information gathered from different sources about trouble shooting NN training
Graph Neural Network Library for PyTorch
Contains information (Blog posts, papers and software) about Synthetic Data (mostly Tabular) generation
Data Science / Data Analytics Portfolio
Starter project code for students taking Udacity ud120
Contains all the sources I have used to build VAE
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.