martsen's Stars
explosion/sense2vec
🦆 Contextually-keyed word vectors
marnikitta/stattests
Source code to reproduce experiments from the article Practitioner’s Guide to Statistical Tests
VGraupera/1on1-questions
Mega list of 1 on 1 meeting questions compiled from a variety to sources
bookingcom/powercalculator
Calculator to define runtime of experiments
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
pedrommcarrasco/Brooklyn
🍎 Screensaver inspired by Apple's Event on October 30, 2018
lakshayg/tensorflow-build
TensorFlow binaries supporting AVX, FMA, SSE
havakv/pycox
Survival analysis with PyTorch
CamDavidsonPilon/lifelines
Survival analysis in Python
retentioneering/retentioneering-tools
Retentioneering: product analytics, data-driven CJM optimization, marketing analytics, web analytics, transaction analytics, graph visualization, process mining, and behavioral segmentation in Python. Predictive analytics over clickstream, AB tests, machine learning, and Markov Chain simulations.
andkret/Cookbook
The Data Engineering Cookbook
OmniTrack/omnitrack_for_research
A self-tracking research toolkit for flexible in-situ data collection instrumentation
iamtodor/data-science-interview-questions-and-answers
Data science interview questions with answers. Not ideally (yet)
Dyakonov/PZAD
Курс "Прикладные задачи анализа данных" (ВМК, МГУ имени М.В. Ломоносова)
keon/algorithms
Minimal examples of data structures and algorithms in Python
appintheair/retentioneering-framework
Retentioneering tools to grow and optimize the app
StanfordHCI/dreamteam-task-set
DreamTeam (CHI 2018) Codenames task set
rasbt/mlxtend
A library of extension and helper modules for Python's data analysis and machine learning libraries.
esokolov/ml-course-hse
Машинное обучение на ФКН ВШЭ
esokolov/ml-course-msu
Lecture notes and code for Machine Learning practical course on CMC MSU
VowpalWabbit/vowpal_wabbit
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.
spotify/annoy
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
catboost/catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
dmlc/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Yorko/mlcourse.ai
Open Machine Learning Course
wulkano/Kap
An open-source screen recorder built with web technology
jupyter/docker-stacks
Ready-to-run Docker images containing Jupyter applications
google/google-visualization-python
Automatically exported from code.google.com/p/google-visualization-python
sideshow/apns2
⚡ HTTP/2 Apple Push Notification Service (APNs) push provider for Go — Send push notifications to iOS, tvOS, Safari and OSX apps, using the APNs HTTP/2 protocol.
ungear/Front-End-Checklist
🗂 Превосходный чеклист fornt-end для дотошных разработчиков современных сайтов