AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
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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.
Chatbot in 200 lines of code using TensorLayer
Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot
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.
Hierarchical Attentive Recurrent Tracking
A Tensorfflow implementation of Attend, Infer, Repeat