spandyie Goto Github PK

data-structures--linked-list-

Singly linked list and methods to handle data in it.

dbscan

A simple implementation of DBSCAN in Python

deep-learning-book

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-shm

Structural Health Monitoring is one of the recent area which has not seen significant application of deep-neural network. The major limitation is due to unavailability of huge number of labeled data set.

deepneuralnet

Fully connected neural network to classify CIFAR-10 data set. The coding is done using Tensor Flow

deeppy

Deep learning in Python

every-programmer-should-know

A collection of (mostly) technical things every software developer should know

exponential-regression-using-gradient-descent

This repository contains the code that does exponential regression using gradient descent optimizer.

fictional-happiness

This repository contains C++ code which writes XML file

finetune_alexnet_with_tensorflow

Code for finetuning AlexNet in TensorFlow >= 1.12

first-contributions

🚀✨ Help beginners to contribute to open source projects

generalized_additive_model_bike_share

Bike-sharing rental process is highly correlated to the environmental and seasonal settings. For instance, weather conditions, precipitation, day of week, season, hour of the day, etc. can affect the rental behaviors. The core data set is related to the two-year historical log corresponding to years 2011 and 2012 from Capital Bikeshare system, Washington D.C., USA which is publicly available in http://capitalbikeshare.com/system-data. We aggregated the data on two hourly and daily basis and then extracted and added the corresponding weather and seasonal information. Weather information are extracted from http://www.freemeteo.com.

ggpy

ggplot port for python

gophercppcodes

Energy of audio signal emitted by a noise source is extracted and is then used to predict the distance of the noise source from the point of interest.

graphicalmodelspython

hddeeplearningstudy

Code etc for Hacker Dojo Deep Learning Study Group

housing-price-prediction

Using Elastic Net regression to predict the price of housings.

icebergimageidentifier

The LENET 5 architechture is begin used to detect iceberg from the staellite images.

jupyter-blog

Create a blog using Jupyter and Pelican.

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

keras_deep_clustering

How to do Unsupervised Clustering with Keras

l-deep-neural-network

lambwave

Using Sparse-autoencoders on Lamb wave sensor data to predict size of the defect on concretes.

learning_git_workshop

Designed to be a hands-on workshop for learning git

materials

Bonus materials, exercises, and example projects for our Python tutorials

ml_class

code for my O'Reilly masterclass videos

models

Models built with TensorFlow

neuralnetwork

L-Deep Neural Network