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algos

bank-transaction-analyzer

Desktop application for analysis and visualization of bank transaction data.

bresenhams-line-algo-speed-comparison

Quick speed comparison of different implementations: python, cython, numba, c++

conquering-seven-hills

Finding optimal walking path for seven hills in Turku.

cuda-lectures

Material for cuda-mode lectures

deep-point-map-compression

dqn

DQN reinforcement learning with some experimental features

drl-zh

Deep Reinforcement Learning: Zero to Hero!

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

filterpy

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

gauss-newton-solver

Gauss-Newton solver implemented from scratch.

kalman-and-bayesian-filters-in-python

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 filters, and more. All exercises include solutions.

kiss-icp

A LiDAR odometry pipeline that just works

lm-hackers

Hackers' Guide to Language Models

lunch-bot

Helpful slack bot that provides lunch options in the region of Turku.

notebooks

Just a bunch of iPython notebooks for future references.

optimization-toolkit

Art of finding minimum. Python implementations from scratch.

privategpt

Interact privately with your documents using the power of GPT, 100% privately, no data leaks

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

ransac-solver

General RANSAC solver with detailed examples.

recommenders

Best Practices on Recommendation Systems

reinforcement-learning-algorithms

This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)

shifting-peaks

Methods to correct effect of peak shifting in curve fitting problem.

solvers

Different type of solvers to solve systems of nonlinear equations

sudoku-solver

table-viewer

A simple utility program, with minimal GUI, for viewing, filtering, grouping, and sorting tabular data.

tiny-dag

A small library to orchestrate and visualize function calls using graph structure.