12 Weeks, 24 Lessons, AI for All!
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AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
深度学习入门教程, 优秀文章, Deep Learning Tutorial
《李宏毅深度学习教程》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)
超轻量级中文ocr,支持竖排文字识别, 支持ncnn、mnn、tnn推理 ( dbnet(1.8M) + crnn(2.5M) + anglenet(378KB)) 总模型仅4.7M
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
A bit like Solr, but much smaller and not as bright
Recurrent Neural Network - A curated list of resources dedicated to RNN
Recurrent neural network for audio noise reduction
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
Scalable and user friendly neural :brain: forecasting algorithms.
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
验证码识别
A recurrent neural network designed to generate classical music.
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
RNNLIB is a recurrent neural network library for sequence learning problems. Forked from Alex Graves work http://sourceforge.net/projects/rnnl/
Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano
Chatbot in 200 lines of code using TensorLayer
Generative Handwriting using LSTM Mixture Density Network with TensorFlow
RESTful degradable JavaScript routing using pushState
Language Model GRU with Python and Theano