Pytorch implementations of ConvLSTM and ConvGRU modules with examples
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Updated
Aug 2, 2021 - Python
Pytorch implementations of ConvLSTM and ConvGRU modules with examples
GSRL is a seq2seq model for end-to-end dependency- and span-based SRL (IJCAI2021).
This repository showcases projects from the Data Mining course at UNAM, Mexico. It includes analyses of customer behavior, sales transactions, and a sequence-to-sequence model for text generation based on the Harry Potter series, all developed and presented throughout the semester.
This project uses LLMs to generate music from text by understanding prompts, creating lyrics, determining genre, and composing melodies. It harnesses LLM capabilities to create songs based on text inputs through a multi-step approach.
My solutions to cs224n assignments with numpy and pytorch
Some advanced keras usage, like self-defined layer, seq_to_seq, unpooling, crf...
Implementation of various attention-based models in PyTorch
Rasmus master thesis ~ LLM-based Process Constraints Generation with Context
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