hamed225 Goto Github PK
Type: Organization
Type: Organization
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Codes provenant de mes vidéos YouTube : https://www.youtube.com/channel/UCmpptkXu8iIFe6kfDK5o7VQ
Make your own data set for object detection
A scikit-learn-compatible module for estimating prediction intervals.
Analytics and data science business case studies to identify opportunities and inform decisions about products and features. Topics include Markov chains, A/B testing, customer segmentation, and machine learning models (logistic regression, support vector machines, and quadratic discriminant analysis).
Train your own custom MaskRCNN Object Detection and Instance Segmentation model.
Segmentación semantica usando MaskRCNN en imagenes y video
Spatial and Semantic Segementation
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Study guides for MIT's 15.003 Data Science Tools
Linear Regression, SGD, Decision Tree and ROC Curve
The practical use-cases of how to make your Machine Learning Pipelines robust and reliable using Apache Airflow.
This repository includes analysis of classification results based on Receiver Operating Characteristic (ROC) Curve and Cumulative Accuracy Profile (CAP) Curves.
Machine Learning Projects 🙍♂️, code and data sets for different kind of problems 🔥.
Learning to perform data pre-processing on the dataset using Python and R.
Algunos algoritmos de ML y de Genetic Algorithm
The code from the Machine Learning Bookcamp book and a free course based on the book
Introduction to MLflow with a demo locally and how to set it on AWS
MLflow related work
Run easily MLflow with docker compose
Tutorials to access Radiant MLHub Training Datasets
Personal repository for mlops-zoomcamp : homeworks, project,...
Free MLOps course from DataTalks.Club
Matlab/Octave Machine Learning Toolbox for Brain-Computer Interfaces
A library of extension and helper modules for Python's data analysis and machine learning libraries.
Companion webpage to the book "Mathematics For Machine Learning"
A project to implement a time series momentum strategy and backtest it.
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.