CaptainE
PhD student @ University of Copenhagen, Pioneer centre for AI, BelongieLab. Previously: UC Berkeley, DTU. Working on machine learning and NLP.
Copenhagen, Denmark
Pinned Repositories
apt
Project website & Code of Adversarial Pivotal Tuning
Deep-reinforcement-learning-A3C
Repository containing material regarding a modified version of the Berkeley Deep reinforcement learning course and an implementation of A3C as a project
Deep-Unsupervised-Learning
Pytorch implementatiions of the Homeworks in course CS294-158
Non-negative-latent-space-models
Implementation of Bayesian Inference for Nonnegative Matrix Factorisation Models.Computational Intelligence and Neuroscience, 2009
PPO-RND-Pommerman
Using Proximal Policy Optimization and Random Network Distillation on Pommerman
RLSolutionsSutton
attempted solutions for Sutton-barto version 2.0
RNN-LSTM-in-numpy
Building a RNN and LSTM from scratch with NumPy.
Searching-for-Structure-in-Unfalsifiable-Claims
Evaluation code for the "Searching for Structure in Unfalsifiable Claims" paper.
syntaxsqlnet
Pytorch implementation of SyntaxSQLNet: Syntax Tree Networks for Complex and Cross-DomainText-to-SQL Task .
02456-deep-learning-with-PyTorch
Exercises and supplementary material for the deep learning course 02456 using PyTorch.
CaptainE's Repositories
CaptainE/RNN-LSTM-in-numpy
Building a RNN and LSTM from scratch with NumPy.
CaptainE/PPO-RND-Pommerman
Using Proximal Policy Optimization and Random Network Distillation on Pommerman
CaptainE/Deep-Unsupervised-Learning
Pytorch implementatiions of the Homeworks in course CS294-158
CaptainE/Searching-for-Structure-in-Unfalsifiable-Claims
Evaluation code for the "Searching for Structure in Unfalsifiable Claims" paper.
CaptainE/Deep-reinforcement-learning-A3C
Repository containing material regarding a modified version of the Berkeley Deep reinforcement learning course and an implementation of A3C as a project
CaptainE/Non-negative-latent-space-models
Implementation of Bayesian Inference for Nonnegative Matrix Factorisation Models.Computational Intelligence and Neuroscience, 2009
CaptainE/RLSolutionsSutton
attempted solutions for Sutton-barto version 2.0
CaptainE/syntaxsqlnet
Pytorch implementation of SyntaxSQLNet: Syntax Tree Networks for Complex and Cross-DomainText-to-SQL Task .
CaptainE/apt
Project website & Code of Adversarial Pivotal Tuning
CaptainE/belongielab.github.io
Lab Website
CaptainE/BERT_STS-B
CaptainE/bts
From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation
CaptainE/CaptainE.github.io
A content-first, sliding sidebar theme for Jekyll.
CaptainE/clevr-iep
Inferring and Executing Programs for Visual Reasoning
CaptainE/CudaBasicClasses
CaptainE/dash-sample-apps
Open-source demos hosted on Dash Gallery
CaptainE/DNNBasic
CaptainE/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
CaptainE/How-much-did-it-rain
A model based ML approach for the kaggle challenge how much did it rain
CaptainE/image-website
Research section covering fields of Image Analysis, Computational Modelling, and Geometry.
CaptainE/Lab
CaptainE/LatentOps
Source code of LatentOps
CaptainE/lcnn
LCNN: End-to-End Wireframe Parsing
CaptainE/pytorch-adapt
A modular domain adaptation library written in PyTorch.
CaptainE/recommender-system
simplistic Recommender system for recommending wiki articles based on readability measure such as Lix from previously read article
CaptainE/ReinforcementLearning
Classic RL algorithms on Lunar Lander such as Reinforce, DQN, AC and DDQN
CaptainE/siamese-triplet
Siamese and triplet networks with online pair/triplet mining in PyTorch
CaptainE/taming-transformers
Taming Transformers for High-Resolution Image Synthesis