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1806

18.06 course at MIT

ack.vim

Vim plugin for the Perl module / CLI script 'ack'

activity-recognition-with-cnn-and-rnn

Temporal Segments LSTM and Temporal-Inception for Activity Recognition

ansj_fast_lda

LDA 的java实现

awesome-rl

Reinforcement learning resources curated

batchtools

Tools for computation on batch systems

blog

for code created as part of http://studywolf.wordpress.com

datadevelopment

dct-policy

devnotes

Notes/tips/tricks/obscure hints related to software development.

driftdatasets

fda

federated-learning

install-clang

A script to create a standalone installation of clang/LLVM/libc++

keras

Deep Learning for humans

knitr-examples

a collection of knitr examples

ladder.jl

A reliable leaderboard algorithm for machine learning competitions

lce

lrz_configs

Some examples to work on the LRZ with R

lstm-human-activity-recognition

Human activity recognition using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING) - Guillaume Chevalier

machinelearning_predictivemodelling

Repository for Implementation of Machine Learning Algorithms

markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

mediacv

multimedia and computer vision

mlrmbo_sunxd

Model-based optimization with mlr

mlrmbodemo

moa

MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.

naiveml

Tutorial for Machine Learning

netdynalgo

online-learning

parabox

Hierarchical Conditional Hyperparameter Description and Ancestral Sampling