AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
- fp-growth
- apriori
- mahchine-leaning
- naivebayes
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Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
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.
- attention-mechanism
- deep-learning
- gpt
- gpt-2
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
- keras
- deep-learning
- text-generation
- tensorflow
Scalable and user friendly neural :brain: forecasting algorithms.
- deep-learning
- forecasting
- esrnn
- nbeats
A recurrent neural network designed to generate classical music.
Chatbot in 200 lines of code using TensorLayer
- tensorlayer
- tensorflow
- chatbot
- rnn
Generative Handwriting using LSTM Mixture Density Network with TensorFlow
RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.
- natural-language-processing
- natural-language-generation
- nlg-dataset
- deep-learning
Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.
- tensorflow
- lstm
- rnn
- stacked-layers
Hierarchical Attentive Recurrent Tracking
- neural-nets
- object-tracking
- attention-mechanism
- rnn
A Tensorfflow implementation of Attend, Infer, Repeat
- tensorflow
- vae
- neural-networks
- attention-mechanism