sandy4321 Goto Github PK
Type: User
sandy4321's Projects
maps.nba
Plotting tweets related to the NBA finals.
maptpx
map estimation of topic models
maqui
A visualization tool that supports queries and pattern mining for event sequence exploration
marchmadnessmontecarlo
Python Monte Carlo
marchmania
My code for submitting to the kaggle march mania project
marge
Yet Another Machine Learning Library - for Scala
market-research-data
publicly available data to understand markets in the US
marketbias
data and source code for "Addressing Marketing Bias in Product Recommendations" WSDM'20
marketing-for-engineers
A curated collection of marketing articles & tools to grow your product.
markovbot
A Python twitter bot that posts tweets generated by a Markov chain from given corpora.
markovify
A simple, extensible Markov chain generator.
markovobfuscate
Python library and tools to obfuscate data based on Markov models built off shared data
marksim
detects anomalies in unbalanced panel data using markov chain simulations
marl-papers
Paper list of multi-agent reinforcement learning (MARL)
marmot
MARMOT - the open source framework for feature extraction and machine learning, designed to estimate the quality of Machine Translation output
marseille
Mining Argument Structures with Expressive Inference (Linear and LSTM Engines)
mashinnoye-obucheniye
:books: Специализация «Машинное обучение и анализ данных»
mask_rcnn
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
master-thesis-statistics-uefa2016
R code of my Master thesis in Statistics: Improving the FIFA ranking system using
master_thesis_rus
Source code and pdf for my master thesis at MIPT
mastering-machine-learning-for-penetration-testing
Mastering Machine Learning for Penetration Testing, published by Packt
masteringdm
Code and examples for the Mastering Data Mining project
masterproject
Automatic camera selection mechanism based on facial feature detection
masters_thesis_code
Master's thesis, FER 2015. A comparison of three approaches to language modelling: smoothed n-gram counting (Knesser-Ney), neural networks, log-bilinear model (distributed representations). Performance comparison on the Microsoft Research Sentence Completion Dataset.
math-as-code
a cheat-sheet for mathematical notation in code form
math-of-machine-learning-course-by-siraj
Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.
math-tech-eng
Mathematical and Technical Writing mini-course for Skoltech Independent Studies Period 2017.
mathdata
For a 4-lecture minicourse on "Mathematics for Data Science", Skoltech, Autumn 2016
mathematical_optimization_for_datascience
Mathematical Optimization for data-science: variants of gradient descent algorithms, proximal operators. Labs from NewUni teachers Robert Gower and Alexandre Gramfort)
mathematicsbiostatisticsbootcamp2
The github repository for mathematical biostatistics bootcamp 2
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