Pinned Repositories
AlgorithmicTrading
Different approaches to Trend Following strategy using R's quantstrat package.
AnomalyDetection
Anomaly Detection with Multiple Techniques using KDDCUP'99 Dataset
inzva-appliedAI-2021-1
Notebooks from the lecture I have given at inzva Applied AI program.
NaturalLanguageProcessing
Applications of Embeddings, Machine Translation and Spam Text Classification.
recompy
Retinal-Vessel-Segmentation
Retinal Vessel Segmentation using U-Net architecture. DRIVE and STARE datasets are used.
SketchBasedFaceRecognition
Sketch based face recognition using AR and CUHK datasets. CNN and HoG methods are compared. Different augmentation techniques are applied due to limited data size.
VarRedOpt
An R Library published on CRAN for variance reduction algorithms.
onurboyar's Repositories
onurboyar/Retinal-Vessel-Segmentation
Retinal Vessel Segmentation using U-Net architecture. DRIVE and STARE datasets are used.
onurboyar/AnomalyDetection
Anomaly Detection with Multiple Techniques using KDDCUP'99 Dataset
onurboyar/SketchBasedFaceRecognition
Sketch based face recognition using AR and CUHK datasets. CNN and HoG methods are compared. Different augmentation techniques are applied due to limited data size.
onurboyar/AlgorithmicTrading
Different approaches to Trend Following strategy using R's quantstrat package.
onurboyar/CVAE
github for "Molecular generative model based on conditional variational autoencoder for de novo molecular design"
onurboyar/inzva-appliedAI-2021-1
Notebooks from the lecture I have given at inzva Applied AI program.
onurboyar/NaturalLanguageProcessing
Applications of Embeddings, Machine Translation and Spam Text Classification.
onurboyar/VarRedOpt
An R Library published on CRAN for variance reduction algorithms.
onurboyar/recompy
onurboyar/Applied-AI-Study-Group-2020-June
This is the repository for the content of inzva 2020-June Applied AI Study Group, guided by Ahmet Melek and Onur Boyar.
onurboyar/BayesianLinearRegression
Bayesian Multivariate Regression with Blocked Gibbs Sampling vs Frequentist Regression
onurboyar/BayesianMethodsforMachineLearning
onurboyar/BOSS
Bayesian Optimisation for String Spaces
onurboyar/Crystal-LSBO
onurboyar/DeepBall-Keras
Implementation of the DeepBall ball detector in Keras
onurboyar/devtools
Tools to make an R developer's life easier
onurboyar/GaussianProcess
Application of Gaussian Processes as it is explained in Pattern Recognition and Machine Learning book.
onurboyar/google-research
Google Research
onurboyar/HousePricePrediction
House price estimation model and creation of API for that model using R plumbeR package.
onurboyar/jp-en-tr
Gradio-App for Japanese English Translation Model
onurboyar/mol_substructure_selector
onurboyar/molecule_structure_generation
onurboyar/nagoya_food_qa
onurboyar/Notebooks
This is where all of the IPython Notebooks will be kept from the blog
onurboyar/onurboyar
Config files for my GitHub profile.
onurboyar/progen
Implementation and replication of ProGen, Language Modeling for Protein Generation, in Jax
onurboyar/RecommenderSystems
Application of Multivariate Denoising Autoencoders and Matrix Factorization techniques using MovieLens dataset.
onurboyar/shachipy
onurboyar/ubisoft-laforge-disentanglement-metrics
onurboyar/weighted-retraining