Spandyie
PhD/ Data Scientist/ Algorithm Engineer/ Rock Climber / Aspiring Alpinist
Palo Alto NetworksSan Francisco
Pinned Repositories
automatic-waffle
Genetic Algorithm library based on Mordern C++
Bayesian-Linear-Regression
In statistics, Bayesian linear regression is an approach to linear regression in which the statistical analysis is undertaken within the context of Bayesian inference. When the regression model has errors that have a normal distribution, and if a particular form of prior distribution is assumed, explicit results are available for the posterior probability distributions of the model's parameters.
cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers
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.
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.
L-Deep-Neural-Network
LambWave
Using Sparse-autoencoders on Lamb wave sensor data to predict size of the defect on concretes.
ParticleFilter
This project uses Particlefilter (Sequential Monte-Carlo Method) to estimate the remaining life of the structure based on Parish-Erdogan Law
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Spandyie's Repositories
Spandyie/LambWave
Using Sparse-autoencoders on Lamb wave sensor data to predict size of the defect on concretes.
Spandyie/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.
Spandyie/Bitonic-Array
3-SUM in quadratic time. Design an algorithm for the 3-SUM problem that takes time proportional to n2 in the worst case. You may assume that you can sort the n integers in time proportional to n2 or better.
Spandyie/every-programmer-should-know
A collection of (mostly) technical things every software developer should know
Spandyie/IcebergImageIdentifier
The LENET 5 architechture is begin used to detect iceberg from the staellite images.
Spandyie/Keras_Deep_Clustering
How to do Unsupervised Clustering with Keras
Spandyie/pymc3
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano
Spandyie/pytorch-examples
Simple examples to introduce PyTorch
Spandyie/awesome-algorithms
A curated list of awesome places to learn and/or practice algorithms.
Spandyie/awesome-rnn
Recurrent Neural Network - A curated list of resources dedicated to RNN
Spandyie/awesome-very-deep-learning
A curated list of papers and code about very deep neural networks
Spandyie/BelgianTrafficSigns
We will cretae a L-Deep Neural Network to read traffic Signals
Spandyie/caffe-tensorflow
Caffe models in TensorFlow
Spandyie/cnn_finetune
Fine-tune CNN in Keras
Spandyie/concept-to-clinic
ALCF Concept to Clinic Challenge
Spandyie/concrete_NLP_tutorial
An NLP workshop about concrete solutions to real problems
Spandyie/Cutout
2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552
Spandyie/Data-Structures--Linked-list-
Singly linked list and methods to handle data in it.
Spandyie/deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
Spandyie/DeepNeuralNet
Fully connected neural network to classify CIFAR-10 data set. The coding is done using Tensor Flow
Spandyie/finetune_alexnet_with_tensorflow
Code for finetuning AlexNet in TensorFlow >= 1.12
Spandyie/ggpy
ggplot port for python
Spandyie/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.
Spandyie/hdDeepLearningStudy
Code etc for Hacker Dojo Deep Learning Study Group
Spandyie/NeuralNetwork
L-Deep Neural Network
Spandyie/pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Spandyie/Percolation
We model a percolation system using an n-by-n grid of sites. Each site is either open or blocked. A full site is an open site that can be connected to an open site in the top row via a chain of neighboring (left, right, up, down) open sites. We say the system percolates if there is a full site in the bottom row. In other words, a system percolates if we fill all open sites connected to the top row and that process fills some open site on the bottom row. (For the insulating/metallic materials example, the open sites correspond to metallic materials, so that a system that percolates has a metallic path from top to bottom, with full sites conducting. For the porous substance example, the open sites correspond to empty space through which water might flow, so that a system that percolates lets water fill open sites, flowing from top to bottom.)
Spandyie/Programming-AssignmentDeques-and-Randomized-Queues
Dequeue. A double-ended queue or deque (pronounced “deck”) is a generalization of a stack and a queue that supports adding and removing items from either the front or the back of the data structure. Create a generic data type Deque that implements the following API: public class Deque<Item> implements Iterable<Item> { public Deque() // construct an empty deque public boolean isEmpty() // is the deque empty? public int size() // return the number of items on the deque public void addFirst(Item item) // add the item to the front public void addLast(Item item) // add the item to the end public Item removeFirst() // remove and return the item from the front public Item removeLast() // remove and return the item from the end public Iterator<Item> iterator() // return an iterator over items in order from front to end public static void main(String[] args) // unit testing (optional) }
Spandyie/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
Spandyie/Tensorflow-Dataset-Tutorial
Notebook for my medium article about how to use Dataset API in TensorFlow