Discover @malyvsen Open Source projects

Mikołaj Bocheński (@malyvsen)

malyvsen

Stars
81
Global Rank 242,014 (Top 9 %)
Followers 62
Registered about 11 years ago
Most used languages

Python
43.5 %

Jupyter Notebook
39.1 %

JavaScript
8.7 %

Shell
4.3 %

TypeScript
4.3 %
Location 🇸🇪 Sweden
Country Total Rank 2,298
Country Ranking

Jupyter Notebook
111

Python
393

TypeScript
1,353

Shell
1,383

JavaScript
2,888

bearing-fault-detection

Improving on NASA's work with induction motor bearing fault detection using RNN-powered smart sensors.

reimage

Morph images by maximizing their structural similarity.

decoherence

Using the Fourier transform of images to do crazy things.

Jupyter Notebook

tradezoo

Studying emergent phenomena in financial markets by having AI trade against AI.

Jupyter Notebook

emergent-markets

Studying emergent phenomena in financial markets by having AI trade against AI.

Jupyter Notebook

futurist

Big data for small businesses.

crisis-summary

Summarization of the latest tweets for crisis managers using GPT-3.

murmeltier

Python framework for AI experiments. Optimized for flexibility, not speed.

liberum

Trustless, decentralized, privacy-aware & future-proof identity verification system.

mnist-ten

Proof that I can do machine learning 🌈

Jupyter Notebook

imaginary-language

A language invented by AI, learnable by humans.

wombat

Minimalist, flexible Python reinforcement learning framework. Out-of-the-box support for OpenAI Gym and TensorFlow.

Jupyter Notebook

fall-prediction

Predicting falls and consciousness loss with AI on embedded devices.

Jupyter Notebook

word2mat

Representing words as matrices to incorporate word order.

floof

A minimalist & personal Arch Linux rice.

televector

Make an old TV turned into an oscilloscope sort of be a TV again.

Jupyter Notebook

marble

Turning people into marble statues with the power of AI.

hypofin

An investment planning app for Poles.

hate-detector

Production-ready toxicity detection system.

pfau

Paint by waving your hands in the air. Powered by AI.

kth-deep-learning

Assignments for the Deep Learning in Data Science course at KTH. Mostly re-implementing PyTorch.

Jupyter Notebook

kth-rl-mountain-car

Solving the Mountain Car problem with SARSA and eligibility traces.

Jupyter Notebook

face-attractor

Machine learning applied to facial beauty: estimation, attribution of attractiveness to features, and photo modification to alter attractiveness estimate.