User Experience on mobile might not be great yet, but I'm working on it.

Your first time on this page? Allow me to give some explanations.

Awesome Tutorials

machine learning and deep learning tutorials, articles and other resources

Here you can see meta information about this topic like the time we last updated this page, the original creator of the awesome list and a link to the original GitHub repository.

Last Update: Jan. 17, 2022, 3:20 p.m.

Thank you ujjwalkarn & contributors
View Topic on GitHub:
ujjwalkarn/Machine-Learning-Tutorials

Search for resources by name or description.
Simply type in what you are looking for and the results will be filtered on the fly.

Further filter the resources on this page by type (repository/other resource), number of stars on GitHub and time of last commit in months.

Machine Learning & Deep Learning Tutorials

😎 Awesome lists about all kinds of interesting topics

184.56K
22.58K
61d
CC0-1.0

machine learning and deep learning tutorials, articles and other resources

11.62K
3.45K
105d
CC0-1.0

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

1.73K
862
4y 81d
MIT

common data analysis and machine learning tasks using python

4.41K
1.4K
4m
MIT

Introduction

A repository to index and organize the latest machine learning courses found on YouTube.

1.89K
187
78d
n/a

List of awesome university courses for learning Computer Science!

38.43K
7.45K
9m
n/a

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

25.48K
5.97K
5m
CC-BY-SA-4.0

Dive into Machine Learning with Python Jupyter notebook and scikit-learn!

10.76K
1.96K
82d
CC-BY-4.0

A curated list of awesome Machine Learning frameworks, libraries and software.

52.6K
12.99K
7d
n/a

A curated list of awesome data visualization libraries and resources.

2.88K
358
75d
n/a

An awesome Data Science repository to learn and apply for real world problems.

17.36K
4.76K
78d
MIT

Notes from the edX Course

22
25
6y 9m
n/a

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

4.91K
540
4m
n/a

Interview Resources

Artificial Intelligence

Genetic Algorithms

Statistics

Useful Blogs

Resources on Quora

Kaggle Competitions WriteUp

Cheat Sheets

Classification

Linear Regression

Logistic Regression

Model Validation using Resampling

Deep Learning

A curated list of awesome Deep Learning tutorials, projects and communities.

18.16K
5.54K
1y 48d
n/a

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

30.64K
6.63K
5m
n/a

Introduction to Deep Learning

127
86
6y 75d
n/a

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

2.13K
431
90d
BSD-3-Clause

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

4.02K
2.16K
1y 109d
n/a

Deep Learning Resources and Tutorials using Keras and Lasagne

417
162
1y 5m
GPL-2.0

Learning to program in Lua using "Torch" and other useful libraries

26
4
6y 98d
n/a

A curated list of awesome Torch tutorials, projects and communities

595
141
3y 10m
n/a

http://torch.ch

8.67K
2.39K
2y 9m
n/a

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

41.34K
15.11K
86d
n/a

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

10.08K
4.41K
1y 26d
MIT

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

3.21K
469
4m
Apache-2.0

Learning to use TensorFlow

9
4
4y 31d
n/a

Easy benchmarking of all publicly accessible implementations of convnets

2.66K
586
4y 7m
MIT

TensorFlow - A curated list of dedicated resources http://tensorflow.org

16.48K
3.02K
4m
CC0-1.0

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

4.45K
1.24K
2y 35d
MIT

Android TensorFlow MachineLearning Example (Building TensorFlow for Android)

1.39K
434
1y 4m
Apache-2.0

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

452
108
2y 9m
Apache-2.0

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

5.83K
1.44K
1y 91d
n/a

GRUV is a Python project for algorithmic music generation.

794
170
1y 50d
n/a

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

10.73K
2.49K
3y 8m
n/a

Code for Kaggle EEG Detection competition

71
19
6y 4m
n/a

Visual Question Answering in Torch

487
97
5y 8m
n/a

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

2.92K
872
8m
MIT

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

966
288
4m
Apache-2.0

Restricted Boltzmann Machines in R

36
15
1y 108d
n/a

A curated list of deep learning resources for computer vision

9.72K
2.75K
11m
n/a

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

4.29K
730
4m
CC0-1.0

A curated list of network embedding techniques.

2.37K
495
1y 40d
n/a

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

1.42K
248
4m
n/a

links to conference publications in graph-based deep learning

3.28K
579
80d
MIT

Natural Language Processing

A curated list of speech and natural language processing resources

2.04K
284
2y 9m
n/a

A Multilingual Latent Dirichlet Allocation (LDA) Pipeline with Stop Words Removal, n-gram features, and Inverse Stemming, in Python.

71
22
1y 94d
MIT

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

141
60
6y 10m
n/a

lecture notes for probabilistic topic models using ipython notebook

23
17
7y 34d
MIT

Implementation of various topic models

350
175
1y 98d
Apache-2.0

Computer Vision

A curated list of awesome computer vision resources

15.13K
3.65K
95d
n/a

A curated list of deep learning resources for computer vision

9.72K
2.75K
11m
n/a

Support Vector Machine

Reinforcement Learning

Reinforcement learning resources curated

7.37K
1.71K
102d
n/a

Decision Trees

Random Forest / Bagging

Boosting

CatBoost tutorials repository

672
307
80d
Apache-2.0

Ensembles

Stacking Models

Vapnik–Chervonenkis Dimension

Bayesian Machine Learning

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 ;)

23.78K
7.46K
85d
MIT

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.

10.97K
3.03K
117d
n/a

Semi Supervised Learning

Optimization

Other Tutorials

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

1.73K
862
4y 81d
MIT

common data analysis and machine learning tasks using python

4.41K
1.4K
4m
MIT