christabella

That's my ninja way, dattebayo!

Aalto UniversityFinland

Pinned Repositories

.emacs.d
Snapshotting my Emacs directory
Language:Emacs Lisp6 3 10
awesome-tech-gigs-for-social-good
Jobs, internships, and work opportunities towards improving people's lives 🖖
10 3 00
bruno
a deep recurrent model for exchangeable data
Language:Python2 2 00
code-busters
Material for competitive programming workshop with Google Code Jam, and other miscellaneous algorithm problems.
Language:Python2 2 00
doom-emacs-config
A new adventure 🪐
Language:Emacs Lisp7 3 00
freewee
Multiplayer, realtime, cross-platform HTML5 web app using phone sensors (e.g. accelerometer) built with Node.js, Socket.io, and Phaser.
Language:JavaScript24 8 08
music-genre-classification
Comparing various machine learning models for music genre classification
Language:Jupyter Notebook0 3 01
pokepython
An educational racing game with Tkinter. Get your Pokemon to the finish line by answering Python questions correctly.
Language:Python10 2 03
simple-HN-clone
Simple Hacker News clone with Nuxt.js and Express http://simple-hn-app.herokuapp.com
Language:JavaScript10
simple-regression-tensorflow-2
Simple linear and logistic regression with TensorFlow 2.
Language:Jupyter Notebook3 2 00

christabella's Repositories

christabella/freewee
Multiplayer, realtime, cross-platform HTML5 web app using phone sensors (e.g. accelerometer) built with Node.js, Socket.io, and Phaser.
Language:JavaScript24 8 08
christabella/awesome-tech-gigs-for-social-good
Jobs, internships, and work opportunities towards improving people's lives 🖖
10 3 00
christabella/pokepython
An educational racing game with Tkinter. Get your Pokemon to the finish line by answering Python questions correctly.
Language:Python10 2 03
christabella/doom-emacs-config
A new adventure 🪐
Language:Emacs Lisp7 3 00
christabella/.emacs.d
Snapshotting my Emacs directory
Language:Emacs Lisp6 3 10
christabella/simple-regression-tensorflow-2
Simple linear and logistic regression with TensorFlow 2.
Language:Jupyter Notebook3 2 00
christabella/bruno
a deep recurrent model for exchangeable data
Language:Python2 2 00
christabella/code-busters
Material for competitive programming workshop with Google Code Jam, and other miscellaneous algorithm problems.
Language:Python2 2 00
christabella/attentive-neural-processes
implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)
Language:Jupyter Notebook1 2 0
christabella/infer
Infer.NET is a framework for running Bayesian inference in graphical models
Language:C#1 2 0
christabella/ppc-helpers
Utilities for SSH-ing into Paniikki and Maari computers
Language:Shell1 2 01
christabella/music-genre-classification
Comparing various machine learning models for music genre classification
Language:Jupyter Notebook0 3 01
christabella/amazon-sagemaker-developer-guide
The open source version of the Amazon SageMaker docs
1 0
christabella/blog-theme
:nerd_face: a Hugo theme for
Language:HTML2 0
christabella/competitive-programming
Aalto course, "Competitive Programming"
Language:Python2 0
christabella/d2l-en
Dive into Deep Learning: an interactive deep learning book with code, math, and discussions, based on the NumPy interface.
Language:Python1 0
christabella/deep-learning-notes
Experiments with Deep Learning
Language:Jupyter Notebook1 0
christabella/deepchem
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Language:Python
christabella/faster-rcnn.pytorch
A faster pytorch implementation of faster r-cnn
Language:Python3 0
christabella/GP-DIP
Code for A Bayesian Perspective on the Deep Image Prior (CVPR 2019)
Language:Jupyter Notebook2 0
christabella/GPflow
Gaussian processes in TensorFlow
Language:Python2 0
christabella/guildai
Lightweight Open Source Experiment Tracking
Language:Python1 0
christabella/meta_learning_pacoh
Meta-learning Gaussian process (GP) priors via PAC-Bayes bounds
Language:Python2 0
christabella/neural-processes
This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).
Language:Jupyter Notebook2 0
christabella/ox-hugo
A carefully crafted Org exporter back-end for Hugo
Language:Emacs Lisp1 0
christabella/predict_pv_yield_2
Using optical flow & machine learning to predict PV yield
Language:Jupyter Notebook1 0
christabella/pythonnet
Python for .NET is a package that gives Python programmers nearly seamless integration with the .NET Common Language Runtime (CLR) and provides a powerful application scripting tool for .NET developers.
Language:C#1 0
christabella/pythonnet.github.io
homepage
1 0
christabella/pytorch-lightning
The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate
Language:Python1 0
christabella/telegram.graphics
Chat anaylzer for the telegram-client.
Language:HTML1 0