ntj28's repositories

Tensorflow-Programs-and-Tutorials

Implementations of CNNs, RNNs, GANs, etc

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node-exif

A node.js library to extract Exif metadata from images.

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tensorflow-ocr

🖺 OCR using tensorflow with attention

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sarai-pest

Final SPId repository

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public-apis

A collective list of public JSON APIs for use in web development.

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text-to-image

Text to image synthesis using thought vectors

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lectures

Oxford Deep NLP 2017 course

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image_keras

Building an image classifier using keras

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NSGA-II_Python_for_SWAT_model

Multi-Site and -Objective calibration method for SWAT model

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Python-ANN-Stock-Market-Predictor

This is a basic stock market predictor built using artificial neural network and implemented in Python.

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deep_learning

Deep Learning Resources and Tutorials using Keras and Lasagne

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pandas-qt

Utilities to use pandas (the data analysis / manipulation library for Python) with Qt.

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sarai-interactive-maps

SARAI Interactive Maps built with Angular

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Shingho

Shingho is a PySpark based statistical library designed for Big Data applications.

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sarai-interactive-maps-backend

Flask (Python) backend for the Angular Maps application

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Deep-Learning-TensorFlow

Ready to use implementations of various Deep Learning algorithms using TensorFlow.

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deep-learning-demo

:pill: The data is the future of oil, digging the potential value of the data is very meaningful. This library records my road of machine learning study.

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TF-Tutorials

A collection of deep learning tutorials using Tensorflow and Python

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Keras-Tutorials

Simple tutorials using Keras Framework

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books

Good Reads

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aDB

CMSC227 Project

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DSE203_Data-Integration_ETL

The course is designed to provide students with the fundamentals of data integration and includes: schema mapping and matching, entity disambiguation, ontology development and management, data provenance, and crowd sourcing and machine learning as strategies for integration. The course will also require hands-on projects in which students will work on a data integration problem requiring integration of two or more datasets taken from an application domain of their choice (e.g. geospatial data, healthcare, financial applications, bioinformatics, etc).

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