Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Ailearning | 37,798 | 2 | 24 days ago | 8 | March 20, 2022 | 1 | other | Python | ||
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2 | ||||||||||
Easyocr | 20,438 | 69 | 3 months ago | 32 | September 04, 2023 | 340 | apache-2.0 | Python | ||
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc. | ||||||||||
Screenshot To Code | 14,132 | 2 years ago | 17 | other | HTML | |||||
A neural network that transforms a design mock-up into a static website. | ||||||||||
Rwkv Lm | 10,705 | 2 months ago | 60 | apache-2.0 | Python | |||||
RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding. | ||||||||||
Deeplearning | 7,463 | 2 years ago | 8 | apache-2.0 | Jupyter Notebook | |||||
深度学习入门教程, 优秀文章, Deep Learning Tutorial | ||||||||||
Stock Prediction Models | 6,233 | a year ago | 46 | apache-2.0 | Jupyter Notebook | |||||
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations | ||||||||||
Ml5 Library | 6,134 | 2 | 8 months ago | 4 | June 14, 2018 | 267 | other | JavaScript | ||
Friendly machine learning for the web! 🤖 | ||||||||||
Awesome Rnn | 5,856 | 2 years ago | 4 | |||||||
Recurrent Neural Network - A curated list of resources dedicated to RNN | ||||||||||
Keras Resources | 3,174 | a year ago | 13 | |||||||
Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library | ||||||||||
Lstm Human Activity Recognition | 3,074 | a year ago | 19 | mit | Jupyter Notebook | |||||
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 |