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1. NLP_AttentionModels NLP_AttentionModels Public

   These notebooks present a series of attention models for natural language processing, including an encoder-decoder model (translator) comprising LSTMs and the scaled dot product attention mechanism…

   Jupyter Notebook 2

2. RAG_LLM_KYW RAG_LLM_KYW Public

   A retrieval-augmented generation system. The code scrapes a website to create a custom dataset. Then, it takes a query, conducts a semantic text search for relevant text in the dataset, and combine…

   Jupyter Notebook 2

3. Greedy_shortest_common_superstring Greedy_shortest_common_superstring Public

   The Python program main.py contains the shortest common superstring algorithm, the greedy shortest common superstring algorithm, and an accelerated version of the greedy shortest common superstring…

   Python 1

4. NLP_SequenceModels NLP_SequenceModels Public

   These notebooks present a series of deep neural networks for natural language processing, including a feedforward network, an RNN with GRUs, an LSTM, and a Siamese network. Their applications are s…

   Jupyter Notebook 1

5. DCGAN_FaceGeneration DCGAN_FaceGeneration Public

   The Jupyter notebook presents a DCGAN built for the purpose of generating new images of human faces, as well as the procedures for training it with a processed CelebA dataset.

   Jupyter Notebook 1

6. DQN_Navigation DQN_Navigation Public

   An agent learns to navigate a large square world and collect bananas by deep Q-learning.

   Python 1