Pinned Repositories
..wip-bul
Python ,Physical Forces like Gravity ,EM ,DU ,ploting fields ,solve DU..........
.taodoors
classic-ML
Implementation of classic machine learning concepts and algorithms from scratch and math behind their implementation.Written in Jupiter Notebook Python
Document-Layout-Analysis
Object Detection Model for Scanned Documents
gravity-simulation
Python package for calculation and simulation of n-bodies interaction.
java-design-patterns
JAVA patterns and other oop construction
java-servlets-chat
chat Jqery ,jax-rs ,spring integration (core,hibernate) tomcat 8,maven,eclipse,mysql server
java-strategy-pattern
java-java based some disign patters
lang-segment-anything
SAM with text prompt
maths-behind-ML
Maths behind machine learning and some implementations from scratch.
daodavid's Repositories
daodavid/gravity-simulation
Python package for calculation and simulation of n-bodies interaction.
daodavid/maths-behind-ML
Maths behind machine learning and some implementations from scratch.
daodavid/..wip-bul
Python ,Physical Forces like Gravity ,EM ,DU ,ploting fields ,solve DU..........
daodavid/.taodoors
daodavid/classic-ML
Implementation of classic machine learning concepts and algorithms from scratch and math behind their implementation.Written in Jupiter Notebook Python
daodavid/Document-Layout-Analysis
Object Detection Model for Scanned Documents
daodavid/java-design-patterns
JAVA patterns and other oop construction
daodavid/java-servlets-chat
chat Jqery ,jax-rs ,spring integration (core,hibernate) tomcat 8,maven,eclipse,mysql server
daodavid/java-strategy-pattern
java-java based some disign patters
daodavid/lang-segment-anything
SAM with text prompt
daodavid/lightning-sam
Fine-tune Segment-Anything Model with Lightning Fabric.
daodavid/M6Doc
daodavid/mechanics
leapfrog integration
daodavid/PDE-MethodOFLines
Partial differential equation,numerical approach, solving and ploting
daodavid/rest-spring
simply rest only with servlet/jsp,EJB,Jqeury,MySql and TomEE servers:
daodavid/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
daodavid/titanic-exploration-data-science-project
Titanic -applying T-test -exercises-DataCleaning,DataEplorations,Hypotesis,basic text procesing
daodavid/tutorials_pmath
daodavid/yolov8_onnx_python
YOLOv8 inference using Python
daodavid/zen-mvc
basics mvc java implemtation-Exersice
daodavid/daodeiv.notebook
daodeiv.notebook
daodavid/design-patterns-python
Design Pattern Examples in Python
daodavid/how-to-deploy
Guides on how to deploy open source projects to Cloud Foundry
daodavid/jdk-8_9_10_11-tutorials
Tutorials and test over the java new features in 8,9,10,11 releases
daodavid/layout-model-training
The scripts for training Detectron2-based Layout Models on popular layout analysis datasets
daodavid/py_dao_tutorials
python concepts
daodavid/torch-learnig-tutorials
Introduction to Torch