machine-learning-cheat-sheet by soulmachine

Classical equations and diagrams in machine learning

updated at May 12, 2024, 8:44 a.m.

TeX

380 +0

6,532 +104

1,176 +18

GitHub
DeepLearningTutorials by lisa-lab

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

updated at May 12, 2024, 8:21 a.m.

Python

425 +0

4,106 -4

2,130 +1

GitHub
ML-YouTube-Courses by dair-ai

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

updated at May 12, 2024, 6:49 a.m.

Unknown languages

353 +0

14,359 +23

1,726 +4

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

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

updated at May 12, 2024, 4:09 a.m.

Unknown languages

1,508 +2

27,778 +31

6,177 +3

GitHub
TensorFlow-Examples by aymericdamien

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

updated at May 12, 2024, 4:07 a.m.

Jupyter Notebook

2,056 +0

43,236 +11

14,992 -3

GitHub
awesome-rl by aikorea

Reinforcement learning resources curated

updated at May 12, 2024, 2:32 a.m.

Unknown languages

444 +0

8,661 +14

1,822 +1

GitHub
char-rnn by karpathy

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

updated at May 11, 2024, 9:47 p.m.

Lua

539 +0

11,441 +10

2,571 +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 ;)

updated at May 11, 2024, 9:19 p.m.

Jupyter Notebook

1,375 +0

26,397 +16

7,821 +0

GitHub
cs231n.github.io by cs231n

Public facing notes page

updated at May 11, 2024, 8:37 p.m.

Jupyter Notebook

536 +1

9,956 +19

4,049 +4

GitHub
have-fun-with-machine-learning by humphd

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

updated at May 11, 2024, 7:44 p.m.

Python

191 +0

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539 +0

GitHub
DataSciencePython by ujjwalkarn

common data analysis and machine learning tasks using python

updated at May 11, 2024, 5:38 p.m.

Python

349 +0

5,099 +5

1,489 +1

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.

updated at May 11, 2024, 5:19 p.m.

Jupyter Notebook

472 -2

15,864 +44

4,056 +7

GitHub
awesome-rnn by kjw0612

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

updated at May 11, 2024, 12:17 p.m.

Unknown languages

619 +0

6,018 +2

1,437 +2

GitHub
DataScienceR by ujjwalkarn

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

updated at May 11, 2024, 10:02 a.m.

R

236 +0

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882 +0

GitHub
graph-based-deep-learning-literature by naganandy

links to conference publications in graph-based deep learning

updated at May 11, 2024, 7:39 a.m.

Jupyter Notebook

247 +0

4,627 +8

771 -1

GitHub
stanford-tensorflow-tutorials by chiphuyen

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

updated at May 11, 2024, 3 a.m.

Python

626 +0

10,302 +0

4,330 +2

GitHub
awesome-torch by carpedm20

A curated list of awesome Torch tutorials, projects and communities

updated at May 10, 2024, 10:42 p.m.

Unknown languages

75 +0

626 +1

144 +0

GitHub
gplearn by trevorstephens

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

updated at May 10, 2024, 9:28 p.m.

Python

49 +0

1,542 +6

274 +0

GitHub
tutorials by catboost

CatBoost tutorials repository

updated at May 10, 2024, 6:27 p.m.

Jupyter Notebook

35 +0

971 +3

397 +0

GitHub
nn-from-scratch by dennybritz

Implementing a Neural Network from Scratch

updated at May 10, 2024, 2:57 p.m.

Jupyter Notebook

89 -1

1,819 +4

968 +0

GitHub