Name: Peter Ebert Christensen
Type: User
Bio: PhD student @ University of Copenhagen, Pioneer centre for AI, BelongieLab. Previously: UC Berkeley, DTU. Working on machine learning and NLP.
Location: Copenhagen, Denmark
Blog: captaine.github.io
Peter Ebert Christensen's Projects
Project website & Code of Adversarial Pivotal Tuning
Lab Website
From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation
A content-first, sliding sidebar theme for Jekyll.
Inferring and Executing Programs for Visual Reasoning
Open-source demos hosted on Dash Gallery
Repository containing material regarding a modified version of the Berkeley Deep reinforcement learning course and an implementation of A3C as a project
Pytorch implementatiions of the Homeworks in course CS294-158
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
A model based ML approach for the kaggle challenge how much did it rain
Research section covering fields of Image Analysis, Computational Modelling, and Geometry.
Source code of LatentOps
LCNN: End-to-End Wireframe Parsing
Implementation of Bayesian Inference for Nonnegative Matrix Factorisation Models.Computational Intelligence and Neuroscience, 2009
Using Proximal Policy Optimization and Random Network Distillation on Pommerman
A modular domain adaptation library written in PyTorch.
simplistic Recommender system for recommending wiki articles based on readability measure such as Lix from previously read article
Classic RL algorithms on Lunar Lander such as Reinforce, DQN, AC and DDQN
attempted solutions for Sutton-barto version 2.0
Building a RNN and LSTM from scratch with NumPy.
Evaluation code for the "Searching for Structure in Unfalsifiable Claims" paper.
Siamese and triplet networks with online pair/triplet mining in PyTorch
Pytorch implementation of SyntaxSQLNet: Syntax Tree Networks for Complex and Cross-DomainText-to-SQL Task .
Taming Transformers for High-Resolution Image Synthesis