Rnn projects on GitHub

Recurrent neural networks for sequential data, covered in deep learning tutorials.

As of October 18, 2026, the most-starred Rnn projects on GitHub are AI-For-Beginners (69.9K stars), TensorFlow-Examples (43.7K stars) and ailearning (42.6K stars). GitHub.Locker tracks 9 Rnn repositories with 251.3K stars combined. The fastest-growing on October 17 was AI-For-Beginners, with +52 stars in a day.

9Projects

251.3KStars in total

+65Stars in a day

Browse in the catalog →github.com/topics/rnn ↗

Hot right now

Most stars gained in a day · Oct 17

+52

AI-For-Beginners

microsoft/AI-For-Beginners · ★ 69.9K

A free 12-week, 24-lesson curriculum from Microsoft that teaches Artificial Intelligence fundamentals through practical lessons, quizzes, and labs.

ailearning

apachecn/ailearning · ★ 42.6K

AiLearning is a Chinese-language, practice-first study guide covering data analysis, machine learning, linear algebra, PyTorch, NLTK, and TensorFlow 2, built mainly around code-along notes for the book 'Machine Learning in Action'.

char-rnn

karpathy/char-rnn · ★ 12.1K

A multi-layer Recurrent Neural Network implementation (vanilla RNN, LSTM, GRU) in Torch/Lua for training and sampling character-level language models that learn to predict the next character in a text and can then generate new text that mimics it.

DeepLearning

Mikoto10032/DeepLearning · ★ 17.8K

A Chinese-language deep learning tutorial — a huge curated collection of links to courses, books, lecture notes, surveys and code, taking you from math basics through CNNs, GANs, RNNs and GNNs to Kaggle practice and interview prep.

The all-time top

9 projects · by stars

#1 · microsoft/AI-For-Beginners
AI-For-Beginners
A free 12-week, 24-lesson curriculum from Microsoft that teaches Artificial Intelligence fundamentals through practical lessons, quizzes, and labs.
69.9K
#2 · aymericdamien/TensorFlow-Examples
TensorFlow-Examples
A hands-on tutorial collection that teaches TensorFlow through runnable examples, from a hello world notebook up to deep neural networks and GANs.
43.7K
#3 · apachecn/ailearning
ailearning
AiLearning is a Chinese-language, practice-first study guide covering data analysis, machine learning, linear algebra, PyTorch, NLTK, and TensorFlow 2, built mainly around code-along notes for the book 'Machine Learning in Action'.
42.6K

4
DeepLearning
17.8KMikoto10032/DeepLearning · Jupyter Notebook
A Chinese-language deep learning tutorial — a huge curated collection of links to courses, books, lecture notes, surveys and code, taking you from math basics through CNNs, GANs, RNNs and GNNs to Kaggle practice and interview prep.
5
deeplearning-models
17.6Krasbt/deeplearning-models · Jupyter Notebook
A large collection of Jupyter Notebooks implementing various deep learning architectures, models, and training tips for TensorFlow and PyTorch.
6
leedl-tutorial
16.8Kdatawhalechina/leedl-tutorial · Jupyter Notebook
A free Chinese-language deep learning tutorial (nicknamed the 'Apple Book') based on Prof. Li Hongyi's (Hung-yi Lee) 'Machine Learning' course, covering most major deep learning topics in detail.
7
lectures
15.9Koxford-cs-deepnlp-2017/lectures
The lecture slides and course description for the Deep Natural Language Processing course offered in Hilary Term 2017 at the University of Oxford: an advanced, applied NLP course organised by Phil Blunsom and delivered in partnership with the DeepMind Natural Language Research Group.
8
RWKV-LM
14.8KBlinkDL/RWKV-LM · Python
RWKV (pronounced 'RwaKuv') is an RNN architecture with transformer-level LLM performance that can also be trained in parallel like GPT. The current generation, RWKV-7 'Goose', is 100% attention-free, linear-time and constant-memory (no kv-cache).
9
char-rnn
12.1Kkarpathy/char-rnn · Lua
A multi-layer Recurrent Neural Network implementation (vanilla RNN, LSTM, GRU) in Torch/Lua for training and sampling character-level language models that learn to predict the next character in a text and can then generate new text that mimics it.