Pinned Repositories
Coursera
my coursera stuff
lacmus-web-api
API to the lacmus project
projecteuler
raft.tla
TLA+ specification for the Raft consensus algorithm
Rinex-3.0-Parser
Parser for rinex files version 3.03 written on .net 3.5
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
sharov-am's Repositories
sharov-am/Rinex-3.0-Parser
Parser for rinex files version 3.03 written on .net 3.5
sharov-am/lacmus-web-api
API to the lacmus project
sharov-am/Competitive_Data_Science
Материалы по курсу анализу данных
sharov-am/Data-Analysis-Cheat-Sheet-for-Social-Scientists
A dense summary of data analysis techniques (includes incompleted mnemonic R codes) in "14.310x - Data Analysis for Social Scientists" MOOC offered by Massachusetts Institute of Technology (MIT).
sharov-am/duckietown-lx
Duckietown Learning Experiences
sharov-am/eShopOnContainers
Cross-platform .NET sample microservices and container based application that runs on Linux Windows and macOS. Powered by .NET Core 3.0, Docker Containers and Azure Kubernetes Services. Supports Visual Studio, VS for Mac and CLI based environments with Docker CLI, dotnet CLI, VS Code or any other code editor.
sharov-am/EventualConsistencyDemo
Demo for Eventual Consistency presentation
sharov-am/gnss_signal_generator
Model to predict the multipath anomaly in GPS L1 C/A signals
sharov-am/heamy
A set of useful tools for competitive data science.
sharov-am/kaggle-api
Official Kaggle API
sharov-am/lacmus
Lacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.
sharov-am/lacmus-app
lacmus-app
sharov-am/LeetCode-Questions-CompanyWise
Contains Company Wise Questions sorted based on Frequency and all time
sharov-am/Machine-Learning-Collection
A resource for learning about Machine learning & Deep Learning
sharov-am/minitorch
The full minitorch student suite.
sharov-am/MITx_capstone_1
This is the first cheat-sheet for the MITx Statistics and Datascience capstone exam
sharov-am/MITx_capstone_2
This is the second cheatsheet for the MITx capstone exams for Statistics and Datascience
sharov-am/MLAlgorithms
Minimal and clean examples of machine learning algorithms implementations
sharov-am/mlcourse.ai-1
Open Machine Learning Course
sharov-am/mooc-software-testing
sharov-am/Neural_Networks_and_CV
sharov-am/postgres
Mirror of the official PostgreSQL GIT repository. Note that this is just a *mirror* - we don't work with pull requests on github. To contribute, please see https://wiki.postgresql.org/wiki/Submitting_a_Patch
sharov-am/python-opencv-gstreamer-examples
Python examples on how to use GStreamer within OpenCV. Now with GPU support! :fire::fire::fire:
sharov-am/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
sharov-am/PZAD
Курс "Прикладные задачи анализа данных" (ВМК, МГУ имени М.В. Ломоносова)
sharov-am/SharpLearning
Machine learning for C# .Net
sharov-am/slambook-en
The English version of 14 lectures on visual SLAM.
sharov-am/some_kaggle_utils
Some small kaggle utils copied from here or there.
sharov-am/system-design-101
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
sharov-am/The-Elements-of-Statistical-Learning-Python-Notebooks
A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book