Sudil Hasitha Piyath Abeyagunasekera's repositories
deeplab2
DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.
MLfromscratch
Machine Learning algorithm implementations from scratch.
ReactAppFromScratch
create react application without boiler plate code
RESTwithFLASK
simple flask api
alibi
Algorithms for monitoring and explaining machine learning models
interpretable-ml-book
Book about interpretable machine learning
VehicleDetectionAndTracking
IoT system for vehicle tracking
innvestigate
A toolbox to iNNvestigate neural networks' predictions!
VBCode
excel automated macros
detectron2
Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.
cs329s-ml-deployment-tutorial
Code and files to go along with CS329s machine learning model deployment tutorial.
speedchallenge
The comma.ai Speed Prediction Challenge!
Hands-On-Explainable-AI-XAI-with-Python
Explainable AI with Python, published by Packt
DiCE
Generate Diverse Counterfactual Explanations for any machine learning model.
interpret
Fit interpretable models. Explain blackbox machine learning.
ecommerce
just for fun MERN stack
xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
shap
A game theoretic approach to explain the output of any machine learning model.
Video-Games-DM
A Data mining project that's being done by 5 Data Science Students from SLIIT
mit-deep-learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Deep-Learning-Coursera
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
OpenCV-Object-Face-Tracking
Tracking objects and Face with OpenCV and Python
models
Models and examples built with TensorFlow
saral-square
A sample code for saral-square module for publishing tutorial.