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Name: Carol
Type: User
Name: Carol
Type: User
KITTI data processing and 3D CNN for Vehicle Detection
This repository holds all the code for the site http://www.adventuresinmachinelearning.com
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
⛳️ PASS: Amazon Web Services Certified (AWS Certified) Cloud Practitioner (CLF-C01) by learning based on our Questions & Answers (Q&A) Practice Tests Exams.
Awesome-LLM: a curated list of Large Language Model
A curated list of papers for multi-label classification.
Method developed by Tiago Dantas and Fernando Cyrino Oliveira that combines Bagging, Clusters and ETS to produce highly accurate time series forecasts
Classification Models for Internet Ads Detection
Distributed Dask on CDSW
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)
Deep Residual Learning for Image Recognition
GPflow documentation
Some basic utility functions for data science and data analysis
This predicts the future energy demand by using a Multivariate LSTM (Long Short Term Memory) Model i.e. (a kind of Recurrent Neural Network) by considering environmental & time series factors.
READY TO USE. A reporting format intended for water level, temperature, electrical conductivity, specific conductance, dissolved oxygen, and pH measured in situ using sensors deployed in water bodies.
App for hosting gene expression/ontology data with Shiny
Mask RCNN in TensorFlow
A demo on how to build your own Google Analytics dashboard with R, Shiny and MySQL
Gaussian Process Regression Tutorial
An application to compare genetic maps with D3 & Shiny
GeostatsPy Python package for spatial data analytics and geostatistics. Mostly a reimplementation of GSLIB, Geostatistical Library (Deutsch and Journel, 1992) in Python. Geostatistics in a Python package. I hope this resources is helpful, Prof. Michael Pyrcz
A Shiny App that analyzes what repos are hot on github.
Gaussian processes in TensorFlow
Gaussian Process Regression Techniques - The source code corresponding to the Ph.D. thesis.
Kernel structure discovery research code - likely to be unstable
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.