Pavel Tyshevskyi's repositories
walking_marvin
Who needs RL anyway? ES to the rescue! 😱
baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
computer-vision-course
Computer Vision course for bachelors (2019)
DSLR
logistic regression in 42 school
ft_ssl
Hashes, symmetric and asymmetric encryption methods (from scratch and compliant with RFC) 🕵️♂️
libft
Custom implementation of libc functions with enhanced functionality: gnl, printf, arbitrary-precision integers, you name it! ☄️
lidar_align
Align Lidar Pointcloud on RGB camera 🥶
multilayer_perceptron
Subset of Keras functionality implemented in pure numpy 🦝
nibbler
Solid Snake 🐍
pyod
A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)
ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
scikit-learn
scikit-learn: machine learning in Python
stepik-dl-nlp
Материалы мини-курса на Stepik "Нейронные сети и обработка текста"