linarabdrazakov Goto Github PK

apdl

Applied Problems of Deep Learning

attentions

PyTorch implementation of some attentions for Deep Learning Researchers.

autopilot

autopilot_ver2

calculator

catalyst

Accelerated deep learning R&D

cryptos

Pure Python from-scratch zero-dependency implementation of Bitcoin for educational purposes

cv

faceid

free-programming-books

:books: Freely available programming books

fusion-ekf

An extended Kalman Filter implementation in C++ for fusing lidar and radar sensor measurements.

getting-things-done-with-pytorch

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

hashtable

hungrygeese

iglu

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.

lamborghini

learningml

miband3

Library to work with Xiaomi MiBand 2

mipt_dafe_algorithms

Study algorithms at second semester

mipt_game

miptime

ml_investment

Investment tools

neural-ode

Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations

parprog

practical_rl

A course in reinforcement learning in the wild

pytorch-vae-tutorial

A simple tutorial of Variational AutoEncoders with Pytorch

rosbag_modifier

A script which splits one rosbag file on parts

rosbag_recorder

rtlabs_3sem