Explore projects
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Machine Learning Basics - implementation of: loss functions (cross entropy loss, L1 loss, L2 loss, hinge loss), regularizations (L1 regularizer, L2 regularizer, early stopping), gradient check, optimizers, training a simple deep model.
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A simulation of classical (mathematical) billiards. / Symulacja klasycznych bilardów (matematycznych). Python + NumPy + Matplotlib
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A short introduction to some of the most known libraries in Python3 and R for data science. Here I intend to cover topics such as data manipulation, data cleaning, machine learning and databases in each language.
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Zac Champion / Shout KID
GNU General Public License v3.0 onlyTerminal application with python 3. Fetches records from chat site with selenium webdriver. Saves records from chat site in human-readable and script-usable format, compiles statistics from chat conversations, and serves me with invoices.
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A fast landscape generation library that's modular and artist-first.
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Bachelor thesis - "Evolutionary algorithms for specific scheduling problem". Created with Python 2.7 (numpy, matplotlib, Tkinter, pyInstaller)
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Common statistics and functions to work with financial time series.
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2021 interview test for optimization of Python code
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Martin Brieger / Simple Convolutional Neural Network
GNU General Public License v3.0 or laterMy first neural network - built with Python, Scipy and Numpy
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https://gitlab.com/KOLANICH-subgroups/docker-images/fixed_python/container_registry + some packages for science
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Anson Biggs / bdfparse
MIT Licensehttps://pypi.org/project/bdfparse/ A package for reading .bdf files into NumPy arrays.
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Introduction to python packges for AI projects
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clausqr / opencv-vivo
GNU General Public License v3.0 or laterUpdated