Giter Site home page Giter Site logo

angela945's Projects

2048 icon 2048

A small clone of 1024 (https://play.google.com/store/apps/details?id=com.veewo.a1024)

aaltd18 icon aaltd18

Data augmentation using synthetic data for time series classification with deep residual networks

awesome-courses icon awesome-courses

:books: List of awesome university courses for learning Computer Science!

bayesiansvm icon bayesiansvm

Source code of the Bayesian SVM described in the paper by Wenzel et al. "Bayesian Nonlinear Support Vector Machines for Big Data"

beamer icon beamer

A LaTeX class for producing presentations and slides

blog icon blog

Source code and other material for my blog posts.

classycv icon classycv

A LaTeX package for writing classy job applications.

cs224d icon cs224d

Code for Stanford CS224D: deep learning for natural language understanding

cs229_notes icon cs229_notes

All of the lecture notes from CS229: Machine Learning

dsb2017 icon dsb2017

The solution of team 'grt123' in DSB2017

dta icon dta

This repository documents MATLAB implementation of a dynamic user equilibrium solver, including a dynamic network loading sub-routine

dtw icon dtw

DTW (Dynamic Time Warping) python module

exp-trmf-nips16 icon exp-trmf-nips16

Experimental Codes for Temporal Regularized Matrix Factoriztion for High-dimensional Time Series Prediction.

gmns icon gmns

General Modeling Network Specification

imm_enkf_traffic_estimation_incident_detection icon imm_enkf_traffic_estimation_incident_detection

This repository contains supporting codes for the paper “Interactive multiple model ensemble Kalman filter for traffic estimation and incident detection.”. Please see readme for more details on how to run the codes.

introduction-to-data-science-in-python icon introduction-to-data-science-in-python

This repository contains Ipython notebooks of assignments and tutorials used in the course introduction to data science in python, part of Applied Data Science using Python Specialization from University of Michigan offered by Coursera

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.