Dimitri Grinkevich's repositories
04-06-2021-live-training-pandas-for-data-analysis
Repository for "Getting Started with Pandas for Data Analysis" live training on April 6th, 2021
artificial-neural-network-business_case_study
Business Case Study to predict customer churn rate based on Artificial Neural Network (ANN), with TensorFlow and Keras in Python. This is a customer churn analysis that contains training, testing, and evaluation of an ANN model. (Includes: Case Study Paper, Code)
awesome-Python-data-science-books
Probably the best curated list of data science books in Python
ClassicComputerScienceProblemsInPython
Source Code for the Book Classic Computer Science Problems in Python
contact_v.2
For contact gui
contact_v.3
Графический интерфейс
depth-hints
[ICCV 2019] Depth Hints are complementary depth suggestions which improve monocular depth estimation algorithms trained from stereo pairs
DK86PC
A WIP attempt to write an Intel 8086 emulator... and eventually an original IBM PC 5150 emulator.
econometric-algorithms
Popular Econometrics content with code; Simple Linear Regression, Multiple Linear Regression, OLS, Event Study including Time Series Analysis, Fixed Effects and Random Effects Regressions for Panel Data, Heckman_2_Step for selection bias, Hausman Wu test for Endogeneity in Python, R, and STATA.
embroidery-vision
🧵 Identify which DMC threads are used in embroidery hoop images.
examples-7
Contains the source code for the examples found in the book
fdungeon
fdungeon MUD
gpu_pytorch
Presentation on Using GPU Cluster Computing with PyTorch
LightAutoML
LAMA - automatic model creation framework
Linux-Kernel-Programming
Linux Kernel Programming, published by Packt
openintro-statistics
📚 An open-source textbook written at the college level. OpenIntro also offers a second college-level intro stat textbook and also a high school variant.
openintro-statistics-slides
👩🏻🏫 Slides for OpenIntro Statistics
OutlierConf2021
⭕ Slides and hands-on codes for my talk "ggplot Wizardry: My Favorite Tricks and Secrets for Beautiful Plots in R" at the 1st OutlierConf, February 4–7 2021.
outrun
Execute a local command using the processing power of another Linux machine.
processing.py-book
Resources for "Learn Python Visually – Creative Coding in Processing.py" from No Starch Press
pydictor
A powerful and useful hacker dictionary builder for a brute-force attack
rdtc
PyTorch implementation of Learning Decision Trees Recurrently Through Communication (RDTC)
rectified-features
[ECCV 2020] Single image depth prediction allows us to rectify planar surfaces in images and extract view-invariant local features for better feature matching
SQL-for-Data-Analytics
Perform fast and efficient data analysis with the power of SQL
SSH-Attack-Stats
A simple script that will run in MOTD on a linux server and will tell you the attack statistics
Transformers-for-Natural-Language-Processing
Transformers for Natural Language Processing, published by Packt