Pinned Repositories
30-Days-of-Python
For the next 30 days, learn the Python Programming language.
akuzubasli.github.io
AttentionDeepMIL
Implementation of Attention-based Deep Multiple Instance Learning in PyTorch
caffe
Caffe: a fast open framework for deep learning.
cs231n
My solutions to cs231n Spring 2017.
DeepMIML
A Keras implementation of the DeepMIML Network for multi-instance multi-label learning
dl-docker
An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)
document_cluster
A guide to document clustering in Python
lstms_for_predictive_maintenance
LSTMS for Predictive Maintenance
akuzubasli's Repositories
akuzubasli/lstms_for_predictive_maintenance
LSTMS for Predictive Maintenance
akuzubasli/30-Days-of-Python
For the next 30 days, learn the Python Programming language.
akuzubasli/akuzubasli.github.io
akuzubasli/AttentionDeepMIL
Implementation of Attention-based Deep Multiple Instance Learning in PyTorch
akuzubasli/caffe
Caffe: a fast open framework for deep learning.
akuzubasli/cs231n
My solutions to cs231n Spring 2017.
akuzubasli/DeepMIML
A Keras implementation of the DeepMIML Network for multi-instance multi-label learning
akuzubasli/dl-docker
An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)
akuzubasli/document_cluster
A guide to document clustering in Python
akuzubasli/General_Clustering_Pipeline
Clusters columns of any data frame
akuzubasli/keras-yolo2
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).
akuzubasli/KnowledgeDisvoveryandMining
Instruction materials to use R for Knowledge Discovery and Mining. This repo is part of IS580 - Knowledge Discovery and Mining course in METU Informatics Institute. For further information please contact kseyma@metu.edu.tr
akuzubasli/langcodes
A Python library for working with and comparing language codes.
akuzubasli/MachineLearningSamples-DeepLearningforPredictiveMaintenance
MachineLearningSamples-DeepLearningforPredictiveMaintenance
akuzubasli/monodepth
Unsupervised single image depth prediction with CNNs
akuzubasli/MUNIT
Multimodal Unsupervised Image-to-Image Translation
akuzubasli/nervana-lib-gpu-performance-preview
Fast GPU kernels for convolutional networks.
akuzubasli/notebook-template-generator
Create Javascript used by Jupyter nbextensions to create new notebooks
akuzubasli/nvidia-docker
Build and run Docker containers leveraging NVIDIA GPUs
akuzubasli/osx-terminal.app-colors-solarized
Solarized color theme for OS X 10.7+ Terminal.app
akuzubasli/pml
practical machine learning
akuzubasli/Python
akuzubasli/pytorch-sagemaker-distributed-workshop
akuzubasli/pytudes
Python programs to practice or demonstrate skills.
akuzubasli/sales_forecasting
5 machine learning techniques to forecast product sales
akuzubasli/solarized
precision color scheme for multiple applications (terminal, vim, etc.) with both dark/light modes
akuzubasli/stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
akuzubasli/torch-residual-networks
This is a Torch implementation of ["Deep Residual Learning for Image Recognition",Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun](http://arxiv.org/abs/1512.03385) the winners of the 2015 ILSVRC and COCO challenges.
akuzubasli/voice-classification