Armin Oliya's repositories

google_keyword_detection_challenge

https://www.kaggle.com/c/tensorflow-speech-recognition-challenge/

Language:Jupyter NotebookStargazers:20Issues:3Issues:1

Kaggle-dstl-satellite-competition

My solution for kaggle Dstl Satellite Imagery Feature Detection competition

Language:Jupyter NotebookStargazers:1Issues:1Issues:0

Kaggle-fisheries-competition

My solution for kaggle fisheries competition

Language:Jupyter NotebookStargazers:1Issues:1Issues:1

kaggle-planet

Kaggle Planet Challenge: Understanding the Amazon from Space, using satellite data to track the human footprint in the Amazon rainforest

Language:Jupyter NotebookStargazers:1Issues:1Issues:0

netherlands_crops_prediction

Analyze and predict crop types for next year in the Netherlands

Language:Jupyter NotebookStargazers:1Issues:1Issues:0

bert

TensorFlow code and pre-trained models for BERT

Language:PythonLicense:Apache-2.0Stargazers:0Issues:1Issues:0

EnglishSpeechUpsampler

Upsample speech audio in wav format using deep learning

Language:PythonLicense:MITStargazers:0Issues:1Issues:0

fastai

The fast.ai deep learning library, lessons, and tutorials

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:0Issues:0Issues:0
Language:Jupyter NotebookStargazers:0Issues:0Issues:0
Language:Jupyter NotebookStargazers:0Issues:1Issues:0
Language:Jupyter NotebookStargazers:0Issues:1Issues:0

kaldi

This is now the official location of the Kaldi project.

Language:ShellLicense:NOASSERTIONStargazers:0Issues:1Issues:0

num2words

Modules to convert numbers to words. 42 --> forty-two

Language:PythonLicense:NOASSERTIONStargazers:0Issues:1Issues:0

pipreqs

pipreqs - Generate pip requirements.txt file based on imports of any project

Language:PythonLicense:Apache-2.0Stargazers:0Issues:1Issues:0

StocksML

Experimenting with timeseries data from stocks, data manipulation, machine learning, prediction

Language:Jupyter NotebookStargazers:0Issues:1Issues:0

wholesale-customer-segment-analysis

In this project, we will analyze a dataset containing data on various customers' annual spending amounts (reported in monetary units) of diverse product categories for internal structure. One goal of this project is to best describe the variation in the different types of customers that a wholesale distributor interacts with. Doing so would equip the distributor with insight into how to best structure their service to meet the needs of each customer.

Language:Jupyter NotebookStargazers:0Issues:1Issues:0

Wine-dataset-eda

An Exploratory Data Analysis (EDA) of white wine dataset

Language:HTMLStargazers:0Issues:0Issues:0

Wrangling-OpenStreetMap-Data-with-MongoDB

In one of my other projects I need to make use of street names and business registration information available in OpenStreetMap. This is an attempt to clean up the crowd-sourced dataset.

Language:PythonStargazers:0Issues:1Issues:0