Pinned Repositories
Mono-VO
Monocular Visual Odometry (VO) for over- and underwater scenario
catVsDogsCNN
Classifying images of cats and dogs using different CNNs
DatabaseProject-TDT4145
Group project in the subject TDT4145 - Data Modelling and Database Systems
gan-pytorch
A collection of different GANs (including WGAN-GP, BiGAN and CycleGAN) implemented in PyTorch.
GoogLeNet
GoogLeNet/InceptionNet pytorch implementation from scratch
made-pytorch
A PyTorch implementation of MADE (Masked Autoencoder Distribution Estimation)
pixelcnn-pytorch
A collection of PixelCNN models implemented in PyTorch
nntailoring
Capacity Estimation and Measuring Tools for Neural Networks
music-style-transfer
Style transfer for music using a WaveNet- like autoencoder structure
mtad-gat-pytorch
PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).
axeloh's Repositories
axeloh/gan-pytorch
A collection of different GANs (including WGAN-GP, BiGAN and CycleGAN) implemented in PyTorch.
axeloh/pixelcnn-pytorch
A collection of PixelCNN models implemented in PyTorch
axeloh/catVsDogsCNN
Classifying images of cats and dogs using different CNNs
axeloh/GoogLeNet
GoogLeNet/InceptionNet pytorch implementation from scratch
axeloh/made-pytorch
A PyTorch implementation of MADE (Masked Autoencoder Distribution Estimation)
axeloh/simple_gcnn
A simple Graph Convolution Neural Network for the Cora benchmark dataset
axeloh/spam_detection
Predicting messages (spam/ham) using Naive Bayes Classifier built from scratch
axeloh/centipawn_loss_analyzer
Analyzing the centipawn loss of strong chess players.
axeloh/command-line-args
A mature, feature-complete library to parse command-line options.
axeloh/computer_vision
Random CV stuff.
axeloh/dt_from_scratch
Building a decision tree classifier from scratch.
axeloh/facialExpressionRecognition
Kaggle competition. Learning facial expressions from images using CNN
axeloh/fashion_MNIST
Neural network model for classifying images of clothing from Fashion MNIST dataset
axeloh/fifa19_players_analysis
Analyzing fifa19 players and predicting features using decision tree and random forest.
axeloh/frozen_lake_RL
Using reinforcement learning to train an agent in the frozen lake environment provided by gym.ai
axeloh/GAT-pytorch
Graph Attention Network (Veličković et. al, 2017) implemented in Pytorch
axeloh/gnn-pytorch
Some simple pytorch implementations of Graph Neural Networks
axeloh/GraphNeuralNet
A simple Graph Net in PyTorch
axeloh/hackerrank
Some HackerRank-like problems
axeloh/image-classification
Image classification using extensive feature extraction with simple classifiers in addition to transfer learning using CNNs (CS200 at UC Berkeley)
axeloh/IntelImageClassification
Competition from Kaggle. Neural network to classify image data of Natural Scenes around the world. Implemented using Keras
axeloh/it2810-webutvikling-h18-prosjekt-2-gruppe--08
IT2810 - Web Development. React Native Project
axeloh/maze_MDP
Solving a Markov Decision Problem for a maze, using the value iteration method
axeloh/movie_review_prediction
Predicting movie reviews (good/bad) using Naive Bayes Classifier built from scratch
axeloh/n-queens-problem
N-queens Problem (with animation) implemented using the Random-Restart Hill-Climbing Search Algorithm
axeloh/planning_graph
Implementing a graph planner as a part of an assignment in the subject TDT4136 Introduction to Artificial Intelligence.
axeloh/predicting_titanic_survivors
Competition from Kaggle. Predicting Titanic survivors using a variety of classifiers.
axeloh/simple_k-means_clustering
axeloh/taxi_RL
Using Q-learning to train an agent in the Taxi environment provided by gym.ai
axeloh/windpowerlib
The windpowerlib is a library to model the output of wind turbines and farms.