Pinned Repositories
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's Repositories
VladimirNikiforov/linux
Shell scripts from course of Linux shell
VladimirNikiforov/oracle
Some scripts in OracleDB
VladimirNikiforov/python
Python scripts from different courses
VladimirNikiforov/Research-Computer-Vision
Implementations of computer vision concepts.
VladimirNikiforov/air-quality
VladimirNikiforov/bokeh-notebooks
Interactive Web Plotting with Bokeh in IPython notebook
VladimirNikiforov/cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers
VladimirNikiforov/clustergrammer-widget
The Clustergrammer interactive Jupyter notebook widget
VladimirNikiforov/computer-vision
Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition
VladimirNikiforov/course-v3
The 3rd edition of course.fast.ai
VladimirNikiforov/Data-Analysis-and-Machine-Learning-Projects
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
VladimirNikiforov/data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
VladimirNikiforov/data_analytics
Курс по анализу и управлению данными
VladimirNikiforov/DBDA-python
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
VladimirNikiforov/DeployDLKubeflowAKS
Deploying CNN using Kubeflow on Azure Kubernetes Service
VladimirNikiforov/Fall2018-tutorials
Tutorials for Fall 2018
VladimirNikiforov/Faster_RCNN_for_Open_Images_Dataset_Keras
Faster R-CNN for Open Images Dataset by Keras
VladimirNikiforov/guessinggame
Guess the number of file in directory!
VladimirNikiforov/mlcourse_open
OpenDataScience Machine Learning course. Both in English and Russian
VladimirNikiforov/netology-ds-CV-lectures
Computer Vision & Deep Learning course materials
VladimirNikiforov/noobgrammer
Its just me starting my first Github profile and uploading the stuff that I do
VladimirNikiforov/pattern_classification
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
VladimirNikiforov/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
VladimirNikiforov/python-bigdata
Data science and Big Data with Python
VladimirNikiforov/pytorch-CycleGAN-and-pix2pix
Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)
VladimirNikiforov/scientific-python-lectures
Lectures on scientific computing with python, as IPython notebooks.
VladimirNikiforov/sldm4-h2o
Statistical Learning & Data Mining IV - H2O Presenation & Tutorial
VladimirNikiforov/stanford_cs101
Stanford course CS101
VladimirNikiforov/swirl
:cyclone: Learn R, in R.
VladimirNikiforov/the-unix-workbench
:house_with_garden: A Book for Anyone to Get Started with Unix