ivanliu1989 Goto Github PK

list-of-dirty-naughty-obscene-and-otherwise-bad-words

List of Dirty, Naughty, Obscene, and Otherwise Bad Words

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

machine-learning-cheat-sheet

Classical equations and diagrams in machine learning

machine-learning-pizza

An algorithm capable of predicting which requests will garner a cheesy (but sincere!) act of kindness.

manifests

A repository for Kustomize manifests

mapbox-navigation-react-native

medascin2018

Material for the Sports Analytics tutorial presented at the 2018 MeDaScIn

melbourne_datathon

melbourne_datathon_2015_kaggle

melbourne_datathon_2016_kaggle

The objective is to predict if a job is in the 'Hotel and Tourism' category.

mercari-price-suggestion-challenge

mercedes-benz-greener-manufacturing

merlion

Merlion: A Machine Learning Framework for Time Series Intelligence

mgarchbekk

R Package for Simulating, Estimating and Diagnosing MGARCH (BEKK and mGJR) Processes

microblog

mildnet

Visual Similarity research at Fynd. Contains code to reproduce 2 of our research papers.

miles-deep

Deep Learning Porn Video Classifier/Editor with Caffe

mmfashion

Open-source toolbox for visual fashion analysis based on PyTorch

modanet

ModaNet: A large-scale street fashion dataset with polygon annotations

model-comparison

SVMs: The Support Vector Machine

model-optimization

A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.

mostly-adequate-guide

Mostly adequate guide to FP (in javascript)

multivariateanalysisontrading

national-emissions-inventory

The overall goal of this assignment is to explore the National Emissions Inventory database and see what it say about fine particulate matter pollution in the United states over the 10-year period 1999–2008.

noaa-storm-analysis

The basic goal of this assignment is to explore the NOAA Storm Database and answer some basic questions about severe weather events.

notion-qa

oandaforexr

oop_in_r

S3 & S4 classes in R programming

otto-group-product-classification-challenge

For this competition, we have provided a dataset with 93 features for more than 200,000 products. The objective is to build a predictive model which is able to distinguish between our main product categories. The winning models will be open sourced.

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more