msmiyels Goto Github PK
Name: Michael Steffen
Type: User
Company: Beak Consultants GmbH
Twitter: msmiyels
Location: Freiberg
Name: Michael Steffen
Type: User
Company: Beak Consultants GmbH
Twitter: msmiyels
Location: Freiberg
Python Package for Airborne RGB machine learning
Self-organizing maps (SOM) and k-means clustering for analyzing geospatial data.
⚡ Building applications with LLMs through composability ⚡
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
High-Resolution Image Synthesis with Latent Diffusion Models
Stable Diffusion web UI
Visualization of all roads within any city
Models and examples built with TensorFlow
Probabilistic reasoning and statistical analysis in TensorFlow
Protocol Buffers - Google's data interchange format
A Python package for building Bayesian models with TensorFlow or PyTorch
A conda-smithy repository for somoclu.
Documentation and samples for ArcGIS API for Python
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
OpenMMLab Detection Toolbox and Benchmark
High quality, fast, modular reference implementation of SSD in PyTorch
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
TensorFlow documentation
This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.
Notebooks about Bayesian methods for machine learning
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python.
A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.
Material and code samples used to help study for and pass the TensorFlow Developer Certification
Tutorial on How to change tensorflow object detection API to allow any number of input channels
A playbook for systematically maximizing the performance of deep learning models.
High-quality implementations of standard and SOTA methods on a variety of tasks.
Machine Learning Experiments and Work
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.