have-fun-with-machine-learning by humphd

An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks

created at Dec. 29, 2016, 5:43 p.m.

Python

191 +0

5,052 +0

539 +0

GitHub
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers by CamDavidsonPilon

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

created at Jan. 14, 2013, 3:46 p.m.

Jupyter Notebook

1,373 +0

26,362 +17

7,819 +5

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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

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skflow by tensorflow

Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning

created at Nov. 18, 2015, 7:55 p.m.

Python

161 +0

3,180 -1

441 +0

GitHub
TensorFlow-Examples by aymericdamien

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

created at Nov. 11, 2015, 2:21 p.m.

Jupyter Notebook

2,056 +1

43,212 +12

14,994 -7

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DataSciencePython by ujjwalkarn

common data analysis and machine learning tasks using python

created at Oct. 6, 2015, 3:26 p.m.

Python

349 +0

5,087 +3

1,488 +1

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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
Kalman-and-Bayesian-Filters-in-Python by rlabbe

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

created at May 16, 2014, 7:24 p.m.

Jupyter Notebook

475 +0

15,797 +32

4,046 +6

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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

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awesome-rl by aikorea

Reinforcement learning resources curated

created at Aug. 10, 2015, 5:45 a.m.

Unknown languages

444 +0

8,638 +6

1,821 +1

GitHub
cs231n.github.io by cs231n

Public facing notes page

created at Jan. 5, 2015, 6:43 a.m.

Jupyter Notebook

535 +0

9,930 +16

4,041 +3

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rbm by zachmayer

Restricted Boltzmann Machines in R

created at Jan. 22, 2014, 3:08 p.m.

R

7 +0

36 +0

15 +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
kaggle-grasp-and-lift by apaszke

Code for Kaggle EEG Detection competition

created at July 25, 2015, 10:26 p.m.

Lua

9 +0

70 +0

19 +0

GitHub
char-rnn by karpathy

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

created at May 21, 2015, 5:25 p.m.

Lua

539 +0

11,423 +6

2,570 +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
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-rnn by kjw0612

Recurrent Neural Network - A curated list of resources dedicated to RNN

created at June 15, 2015, 10:21 a.m.

Unknown languages

619 -1

6,015 +1

1,436 +0

GitHub
machine-learning-for-software-engineers by ZuzooVn

A complete daily plan for studying to become a machine learning engineer.

created at Oct. 9, 2016, 9:20 p.m.

Unknown languages

1,507 +0

27,732 +29

6,171 +2

GitHub