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awesome-optimizers. Neural Network optimizers implemented from scratch in numpy (Adam, Adadelta, RMSProp, SGD, etc.)
51YNAB-reporter. Reporting system for You Need A Budget
41simplestELM. A very simple implementation of the Extreme Learning Machine Algorithm (Deep Learning implementation)
21cFavorita. A project for solving demand forecast of a medium retailer using a simple Deep Learning model
19N26-to-YNAB. An automated way of syncing your N26 account transactions to You Need A Budget
18papers. Summaries of papers read, starting from early 2020
11scriptGAN. A natural language generation system using Wasserstein Generative Adversarial Networks. Repository for my Master's Thesis
7Xception1d. Xception1d implementation for audio categorization
6somnium. Model explainability and high dimensional visualisation library for Python based on Self-Organising-Maps
5deep_matrix_factorization. An empirical comparison between classical matrix factorization and deep learning assisted matrix factorization for solving collaborative filtering tasks
3Godot2DSurvivorGame. Medieval survivor game designed in Godot
3nips-conference-book-builder. A NIPS 2018 conference book scrapper for Python with BeautifulSoup
3abs. Empirical study of the modulus as as activation function in computer vision applications
2LTH. Lottery-ticket hypothesis primer. Simple implementation in Keras and TF.
1Revolut-to-YNAB. An automated way of syncing your Revolut account transactions to You Need A Budget
1simple_chatbot. A simple chatbot implementation using RNNs in a Fully Visible Belief Network architecture
1AdaIN. Code for reproducing AdaIN paper in Pytorch and with simple code
1DistillNet. Exploring Knowledge Distilation techniques on Pretrained Models
1montreal-docker. Dockerfile
1PSO. A simple Particle Swarm Optimization algorithm implementation from scratch
1Matlab_ML. Old repository holding the code for different machine learning algorithms in Matlab
1Scikit-Stack. Python Library implementing the Super-Learner (aka Stacked Generalization Machine). Compatible with sklearn
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