📝 Подборка ресурсов по машинному обучению

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

Simple speed tests for Python 3.11

AvitoTech team playbook

OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.

Osmosis is a command line Java application for processing OSM data.

Linux-CAN / SocketCAN user space applications

Breakout of j1939 from inside the python-can package

ImageDataExtractor 2.0 - a Python library for electron microscopy image quantification.

The strictest and most opinionated python linter ever!

Deep Extreme Cut https://www.vision.ee.ethz.ch/~cvlsegmentation/dextr

Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple

Mini Web server that let others upload files to your computer

C implementation of the homographic transformation of an image using B-spline interpolation

🎨 Diagram as Code for prototyping cloud system architectures

A curated list of awesome Machine Learning frameworks, libraries and software.

Multivariate kernel density estimation [statistics]

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Graphical system monitor for linux, including information about CPU, GPU, Memory, HDD/SDD and your network connections. Similar to windows task manager.

Open source version of the original ISET, a complement to ISETBIO

C++ implementation of Gaussian Mixture Model

Deep Learning with Catalyst

Machine learning glossary

A C++ implementation of naive Bayes model

Parallel computing with task scheduling

Transpile trained scikit-learn estimators to C, Java, JavaScript and others.

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

10 tasks with 3 exercises each based on PyTorch

🚴 Call stack profiler for Python. Shows you why your code is slow!