Topics / #lstm

Lstm projects on GitHub

Long Short-Term Memory recurrent networks used for sequence tasks like optical character recognition.

As of , the most-starred Lstm projects on GitHub are tesseract (77.1K stars), TensorFlow-Examples (43.7K stars) and ailearning (42.6K stars). GitHub.Locker tracks 11 Lstm repositories with 287.9K stars combined. The fastest-growing on October 17 was Unsupervised-Log-Anomaly-Detection-Microservices, with +52 stars in a day.

11Projects
287.9KStars in total
+85Stars in a day
Browse in the catalog →github.com/topics/lstm ↗

Hot right now

Most stars gained in a day · Oct 17

+52

Unsupervised-Log-Anomaly-Detection-Microservices

chuansirrr/Unsupervised-Log-Anomaly-Detection-Microservices · ★ 1K

It is a research-grade, unsupervised anomaly detection framework for microservice logs that combines Transformer, LSTM, and statistical features with graph-based modeling and ensemble scoring to flag unusual log behavior without labeled data.

+18

tesseract

tesseract-ocr/tesseract · ★ 77.1K

Tesseract is an open source OCR engine: it ships as the libtesseract library plus a command line program called tesseract that reads text out of images.

+4

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'.

+4

EasyOCR

JaidedAI/EasyOCR · ★ 30.1K

A ready-to-use, open-source OCR library for Python: it detects and reads text in images across 80+ languages and popular writing scripts — Latin, Chinese, Arabic, Devanagari, Cyrillic and more.

The all-time top

11 projects · by stars

  1. #1 · tesseract-ocr/tesseract

    tesseract

    Tesseract is an open source OCR engine: it ships as the libtesseract library plus a command line program called tesseract that reads text out of images.

    77.1K
  2. #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. #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
  1. 4

    EasyOCR

    30.1KJaidedAI/EasyOCR · Python

    A ready-to-use, open-source OCR library for Python: it detects and reads text in images across 80+ languages and popular writing scripts — Latin, Chinese, Arabic, Devanagari, Cyrillic and more.

  2. 5

    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.

  3. 6

    Screenshot-to-code

    16.5Kemilwallner/Screenshot-to-code · HTML

    A neural network that turns a design mock-up image into the HTML markup of a static website — render that markup and you get the original design back.

  4. 7

    numpy-ml

    16.3Kddbourgin/numpy-ml · Python

    A collection of machine learning algorithms — Gaussian mixture models, HMMs, neural networks, tree ensembles, reinforcement learning agents and more — implemented from scratch in pure NumPy.

  5. 8

    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.

  6. 9

    RWKV-LM

    14.7KBlinkDL/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).

  7. 10

    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.

  8. 11

    Unsupervised-Log-Anomaly-Detection-Microservices

    1Kchuansirrr/Unsupervised-Log-Anomaly-Detection-Microservices · Python

    It is a research-grade, unsupervised anomaly detection framework for microservice logs that combines Transformer, LSTM, and statistical features with graph-based modeling and ensemble scoring to flag unusual log behavior without labeled data.

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