Maurits's Projects
Demonstration build of "Adversarial Autoencoders" by Alireza Makhzani et al
Alfred Google Translate Workflow. Alfred 多語言翻譯 Workflow,含有拼字校正、近似詞建議功能。
Anti exploration in offline reinforcement learning
Berkely-cs294-112 Deep reinforcement learning homework
Dash repo of user contributed docsets
Image restoration with neural networks but without learning.
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
deep extensions to nn
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
Collection of normalising flow experiments
Collection of basic functions used for image processing and feature detection
Scripts for the kaggle statoil iceberg recognition challenge
Latent Convolutional Models
A Jekyll theme with a minimal design inspired by typewriters.
Base machine learning project page for VAEs or classifier / regressors
pytorch utility functions
Pixelpost is an open-source, standards-compliant, multi-lingual, fully extensible photoblog application for the web. Anyone who has web-space that meets the requirements can download and use Pixelpost for free!
pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
Prescribed Generative Adversarial Networks
Matlab code for algorithms in PRML book
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 ;)