MT-Reading-List by THUNLP-MT

A machine translation reading list maintained by Tsinghua Natural Language Processing Group

created at Dec. 3, 2018, 10:45 a.m.

TeX

166 -1

2,410 -1

450 -1

GitHub
DataScienceR by ujjwalkarn

a curated list of R tutorials for Data Science, NLP and Machine Learning

created at Oct. 8, 2014, 7:29 a.m.

R

236 +0

1,966 +1

882 +0

GitHub
nn-from-scratch by dennybritz

Implementing a Neural Network from Scratch

created at Sept. 2, 2015, 9:30 a.m.

Jupyter Notebook

90 +0

1,807 +4

966 +3

GitHub
gplearn by trevorstephens

Genetic Programming in Python, with a scikit-learn inspired API

created at March 26, 2015, 1:01 a.m.

Python

49 +0

1,533 +6

274 +0

GitHub
KRLPapers by thunlp

Must-read papers on knowledge representation learning (KRL) / knowledge embedding (KE)

created at Feb. 3, 2018, 3:08 p.m.

TeX

116 -1

1,527 +2

248 -1

GitHub
AndroidTensorFlowMachineLearningExample by amitshekhariitbhu

Android TensorFlow MachineLearning Example (Building TensorFlow for Android)

created at March 6, 2017, 4:34 a.m.

Java

82 +0

1,431 +1

427 -1

GitHub
awesome-random-forest by kjw0612

Random Forest - a curated list of resources regarding random forest

created at June 15, 2015, 10:23 a.m.

Unknown languages

119 +0

1,147 +1

331 +0

GitHub
seq2seq-signal-prediction by guillaume-chevalier

Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier

created at March 31, 2017, 7:26 p.m.

Jupyter Notebook

41 +0

1,079 -1

294 +0

GitHub
tutorials by catboost

CatBoost tutorials repository

created at June 25, 2018, 11:18 a.m.

Jupyter Notebook

35 +0

966 +2

397 -2

GitHub
intro2stats by rouseguy

Introduction to Statistics using Python

created at May 9, 2015, 6:26 a.m.

Jupyter Notebook

63 +0

893 +0

379 +0

GitHub
GRUV by MattVitelli

GRUV is a Python project for algorithmic music generation.

created at July 27, 2015, 1:16 a.m.

Python

47 +0

798 +0

166 +0

GitHub
awesome-torch by carpedm20

A curated list of awesome Torch tutorials, projects and communities

created at Oct. 4, 2015, 3:53 p.m.

Unknown languages

75 +0

624 +0

144 +0

GitHub
tutorials by torch

A series of machine learning tutorials for Torch7

created at July 14, 2012, 5:33 a.m.

Jupyter Notebook

55 +0

623 +0

312 +0

GitHub
rnn-tutorial-gru-lstm by dennybritz

Language Model GRU with Python and Theano

created at Oct. 12, 2015, 8:51 a.m.

Python

39 +0

493 +0

220 +0

GitHub
neural-vqa by abhshkdz

grey question Visual Question Answering in Torch

created at Nov. 16, 2015, 11:47 a.m.

Lua

27 +0

489 +0

90 +0

GitHub
visual-qa by avisingh599

[Reimplementation Antol et al 2015] Keras-based LSTM/CNN models for Visual Question Answering

created at Oct. 27, 2015, 3:26 p.m.

Python

35 +0

481 +0

186 +0

GitHub
AndroidTensorFlowMNISTExample by amitshekhariitbhu

Android TensorFlow MachineLearning MNIST Example (Building Model with TensorFlow for Android)

created at March 16, 2017, 3:16 p.m.

Java

28 +0

460 +0

99 +0

GitHub
python-topic-model by dongwookim-ml

Implementation of various topic models

created at Aug. 29, 2014, 4:01 a.m.

Jupyter Notebook

29 +0

369 +0

174 +0

GitHub
deep-belief-nets-for-topic-modeling by larsmaaloee

This repository is a proof of concept toolbox for using Deep Belief Nets for Topic Modeling in Python.

created at May 20, 2014, 6:54 p.m.

Python

23 +0

143 +0

58 +0

GitHub
intro2deeplearning by rouseguy

Introduction to Deep Learning

created at May 18, 2015, 5:19 p.m.

Python

14 +0

127 +0

81 +0

GitHub