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Name: Emir Kavurmacioglu
Type: User
Emir Kavurmacioglu's Projects
catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
covid-net
COVID-Net Open Source Initiative
gans
Generative Adversarial Networks implemented in PyTorch and Tensorflow
great_expectations
Always know what to expect from your data.
insight
Insight Data Science DS.2019C.TO project
iohmm
Input Output Hidden Markov Model (IOHMM) in Python
keras-resnet
Residual networks implementation using Keras-1.0 functional API
lightgbm
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
notes
Contains Example Programs and Notebooks for some courses at Bogazici University, Department of Computer Engineering
openstreetmapx.jl
OpenStreetMap support for Julia 1.0
pytorch-generative-adversarial-networks
A very simple generative adversarial network (GAN) in PyTorch
rainbow-is-all-you-need
Rainbow is all you need! Step-by-step tutorials from DQN to Rainbow
reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
time-series-nested-cv
Nested cross-validation with time series splitter
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