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/dbscan
A simple implementation of DBSCAN in Python
Spandyie/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Spandyie/pattern_classification
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
Spandyie/TensorFlow-Tutorials
TensorFlow Tutorials with YouTube Videos
Spandyie/cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers
Spandyie/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/awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
Spandyie/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
Spandyie/awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
Spandyie/CarND-Vehicle-Detection
Vehicle detection using YOLO in Keras runs at 21FPS
Spandyie/CausalImpact
An R package for causal inference in time series
Spandyie/data-science-primer
A set of self paced resources for anyone looking to get into data science. The materials assume an absolute beginner and are intended to prepare students for the Galvanize Data Science interview process: http://www.galvanize.com/courses/data-science/
Spandyie/deep-learning-book
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
Spandyie/GraphicalModelsPython
Spandyie/Housing-Price-Prediction
Using Elastic Net regression to predict the price of housings.
Spandyie/learning_git_workshop
Designed to be a hands-on workshop for learning git
Spandyie/models
Models built with TensorFlow
Spandyie/nn-from-scratch
Implementing a Neural Network from Scratch
Spandyie/open_exoplanet_catalogue
The Open Exoplanet Catalogue
Spandyie/Particle-Filter
Udacity Self-Driving Car Engineer Nanodegree. Project: Kidnapped Vehicle
Spandyie/Practical_RL
A course in reinforcement learning in the wild
Spandyie/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Spandyie/rprogdatascience
Spandyie/Single-layer-Perceptron
Single layer neural network using backpropagation algorithm
Spandyie/SoftwareDesignDrawing
Design drawing of the software
Spandyie/tensorflow
Computation using data flow graphs for scalable machine learning
Spandyie/TensorFlow-Examples
TensorFlow Tutorial and Examples for beginners
Spandyie/tensorflow-mnist-tutorial
Sample code for "Tensorflow and deep learning, without a PhD" presentation and code lab.
Spandyie/TensorFlow-Tutorials-for-Time-Series
TensorFlow Tutorial for Time Series Prediction
Spandyie/tensorforce
TensorForce: A TensorFlow library for applied reinforcement learning