elhamafzali Goto Github PK
Name: ELHAM AFZALI
Type: User
Company: University of Manitoba
Bio: Ph.D. candidate, Department of Statistics, University of Manitoba, Canada.
Twitter: Gambler898
Location: Canada
Name: ELHAM AFZALI
Type: User
Company: University of Manitoba
Bio: Ph.D. candidate, Department of Statistics, University of Manitoba, Canada.
Twitter: Gambler898
Location: Canada
Minimal examples of data structures and algorithms in Python
Anomaly detection related books, papers, videos, and toolboxes
autoencoder for denoising mnist dataset
Efficiently computes derivatives of numpy code.
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
Public facing notes page
Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
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.
A standard CNN for the MNIST dataset coded up in keras in a jupyter notebook.
For a mini tutorial at U of T, a tutorial on MNIST classification in Keras.
Logistic regression from scratch in Python
Logistic Regression classifier written in python
Machine Learning Files
machine learning and deep learning tutorials, articles and other resources
PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3
Just some ipython notebooks to help me learn neural nets.
Collection of IPython Notebooks explaining various features of numpy and scipy.
A simple neural network (multilayer perceptron) with backpropagation implemented in Python with NumPy
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.