VladimirNikiforov

awesome-machine-learning-interpretability

A curated list of awesome machine learning interpretability resources.

deep_learning_for_vision_systems

This repository accompanies the book "Deep Learning for Vision Systems".

java

Java scripts from different courses

Keras-GAN

Keras implementations of Generative Adversarial Networks.

linux

Shell scripts from course of Linux shell

netology-ds

Data Scientist Specialization in Netology

Neural_Networks_and_CV

R

Courses in R, Statistics and Data Analysis

Research-Computer-Vision

Implementations of computer vision concepts.

triplet-reid

Code for reproducing the results of our "In Defense of the Triplet Loss for Person Re-Identification" paper.

VladimirNikiforov/netology-ds

Data Scientist Specialization in Netology

VladimirNikiforov/java

Java scripts from different courses

VladimirNikiforov/R

Courses in R, Statistics and Data Analysis

VladimirNikiforov/assignment-computer-vision

Train imagenet neuralnet with TensorFlow and Docker

VladimirNikiforov/ImageAI

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

VladimirNikiforov/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.

VladimirNikiforov/netology-dl

Course of Deep Learning

VladimirNikiforov/netology-ds-diploma

Diploma of Netology Data Scientist specialization

VladimirNikiforov/python_common

Python scripts from different courses

VladimirNikiforov/awesome-machine-learning-interpretability

A curated list of awesome machine learning interpretability resources.

VladimirNikiforov/deep_learning_for_vision_systems

This repository accompanies the book "Deep Learning for Vision Systems".

VladimirNikiforov/Keras-GAN

Keras implementations of Generative Adversarial Networks.

VladimirNikiforov/Neural_Networks_and_CV

VladimirNikiforov/triplet-reid

Code for reproducing the results of our "In Defense of the Triplet Loss for Person Re-Identification" paper.

VladimirNikiforov/capstone_user_identification

User session classification in Python

VladimirNikiforov/deep-learning-lectures

VladimirNikiforov/Deep_Learning_AI

VladimirNikiforov/h2o-3

Open Source Fast Scalable Machine Learning Platform For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), ...)

VladimirNikiforov/incubator-singa

Mirror of Apache Singa (Incubating)

VladimirNikiforov/interpretable_machine_learning_with_python

Practical techniques for interpreting machine learning models.

VladimirNikiforov/ipython-notebooks-1

A collection of IPython notebooks covering various topics.

VladimirNikiforov/linux_shell

VladimirNikiforov/Machine-Learning-with-Python

Python code for common Machine Learning Algorithms

VladimirNikiforov/notebooks

Some sample IPython notebooks for scikit-learn

VladimirNikiforov/ods

Beginning of the course at OpenDataScience

VladimirNikiforov/python-machine-learning-book

The "Python Machine Learning (1st edition)" book code repository and info resource

VladimirNikiforov/PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

VladimirNikiforov/Real-time-object-detection-using-yolov2-and-distance-estimation

Real-time Object detection using yolov2 and distance estimation of object from the camera lens.

VladimirNikiforov/statistics_in_python

VladimirNikiforov/tensor-house

A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain