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

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GitHub
AndroidTensorFlowMachineLearningExample by amitshekhariitbhu

Android TensorFlow MachineLearning Example (Building TensorFlow for Android)

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

Java

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GitHub
nn-from-scratch by dennybritz

Implementing a Neural Network from Scratch

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

Jupyter Notebook

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KRLPapers by thunlp

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

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

TeX

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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

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machine-learning by ethen8181

earth americas machine learning tutorials (mainly in Python3)

created at July 24, 2015, 3:35 a.m.

HTML

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GitHub
skflow by tensorflow

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

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

Python

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GitHub
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

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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

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GitHub
awesome-network-embedding by chihming

A curated list of network embedding techniques.

created at Nov. 27, 2016, 10:08 a.m.

Unknown languages

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awesome-graph-classification by benedekrozemberczki

A collection of important graph embedding, classification and representation learning papers with implementations.

created at July 14, 2018, 12:13 p.m.

Python

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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

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graph-based-deep-learning-literature by naganandy

links to conference publications in graph-based deep learning

created at Dec. 1, 2017, 2:48 p.m.

Jupyter Notebook

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TensorFlow-Book by BinRoot

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

created at March 6, 2016, 11:30 p.m.

Jupyter Notebook

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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

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ML-YouTube-Courses by dair-ai

📺 Discover the latest machine learning / AI courses on YouTube.

created at June 25, 2021, 9:39 a.m.

Unknown languages

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machine-learning-cheat-sheet by soulmachine

Classical equations and diagrams in machine learning

created at May 9, 2013, 7:43 a.m.

TeX

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DeepLearningTutorials by lisa-lab

Deep Learning Tutorial notes and code. See the wiki for more info.

created at Jan. 7, 2010, 6:42 p.m.

Python

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awesome-rl by aikorea

Reinforcement learning resources curated

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

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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

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