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Name: Ricky D'Cruze
Type: User
Location: Västerås, Sweden
Name: Ricky D'Cruze
Type: User
Location: Västerås, Sweden
This is Helloworld app from Day 6 of #3oDaysOfStreamlit
In this repo i will trying to show the result differnce between Azure ML Studio (Classic) vs the new one which is Azure ML Studio
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
The project is about SteamFlow prediction of a paper mil. The target is to predict how much water needed to make a paper roll.
estimating stock index values based on economic indicators with R
Home Electrical bill(in SEK) and it's Forecasting using Neural Network I have collected data from MälarEnergi of my home electrical usage and it's cost. Using those data I have used Neural Network on Time series data to find out the forecast of my cost for next 12 months, where we also tested the model with last 4 months original data. I have used R programming Language and it's different packages, like tidyr, dplyr, forecast and dygraphs for visualization and published the visualtization using rpubs.com
Creating and selecting best features automatically using the 'featurewiz' library in python.
Problem description FIFA 18 Complete Player Dataset from Kaggle.com 17k+ players, 70+ attributes extracted from the latest edition of FIFA I am going to create a model from where club owners can find out or suggest the wage of a player while hiring them into the club.
Predict Wage for FIFA players --To predict the players wage we have collected the data from Kaggle. And we have applied Random Forest regression with hyperparameter tuning.
Using the dataset from Kaggle(the FIFA 18 players data) i would like to find out the best model by comparing three algorithms LinearRegression, Random Forest and XGboost.
Drag & drop UI to build your customized LLM flow using LangchainJS
Code (and other materials) for an introductory talk/workshop on GBMs (developed originally for an R-Ladies Meetup)
experimenting GPT-Neo
Image Content Description with GPT-4 Vision
Open Source Fast Scalable Machine Learning Platform For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), ...)
Some H2O machine learning demos.
Tutorials and training material for the H2O Machine Learning Platform
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
As a part of the course we have developed this Multimodal RAG applicaation
Simple Chat UI using Falcon model, LangChain and Chainlit
:robot: The free, Open Source OpenAI alternative. Self-hosted, community-driven and local-first. Drop-in replacement for OpenAI running on consumer-grade hardware. No GPU required. Runs ggml, gguf, GPTQ, onnx, TF compatible models: llama, llama2, rwkv, whisper, vicuna, koala, cerebras, falcon, dolly, starcoder, and many others
This repository contains mini projects in machine learning with notebook files
This repository contains sample code, which is used for a MLOps Workshop
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.