Stars
Self-Organizing Maps library of the InTRA research center.
A data-driven method to calculate the Lyapunov exponent of a dynamical system employing a GRU-RNN.
Procedural painting algorithms in Unity 3d with compute shaders based on genetic evolution algorithms
A genetic algorithm toy project for drawing
A modern and customizable python UI-library based on Tkinter
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
A Python implementation of Deep Belief Networks built upon NumPy and TensorFlow with scikit-learn compatibility
Simple code tutorial for deep belief network (DBN)
Official implementation of "Separate Anything You Describe"
# Eigenfish Ideas by the wonderful ["Computational Discovery on Jupyter"](https://computational-discovery-on-jupyter.github.io/Computational-Discovery-on-Jupyter/index.html) by Neil J. Calkin, Euni…
LSTM network trained on dance videos using audio( songs ) as input and human pose estimated coordinates as output. Trained LSTM models are then used to generate dance videos using songs as input.
Training repository for OpenPose
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Minimal PyTorch implementation of Deep Dream
Pytorch implementation for VAE and conditional VAE.
Independently Recurrent Neural Networks (IndRNN) implemented in pytorch.
A Collection of Variational Autoencoders (VAE) in PyTorch.
A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.
🧠 A study guide to learn about Transformers
A powerful and easy-to-use Graphics Library for Python based on Processing.
🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps
Statistical Rethinking course winter 2022
Python programs, usually short, of considerable difficulty, to perfect particular skills.
📺 Discover the latest machine learning / AI courses on YouTube.
Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University
Companion webpage to the book "Mathematics For Machine Learning"