There are no reviews yet. Be the first to send feedback to the community and the maintainers!
Bidirectiona-LSTM-for-text-summarization-
A bidirectional encoder-decoder LSTM neural network is trained for text summarization on the cnn/dailymail dataset. (MIT808 project)Siamese-LSTM-on-sentence-similarity
Using Siamese LSTM to classify repeated quora questions. Attempted pretrained bert embeddings, Word2Vec and training own embeddings together with the model.MLP-GA-hyperparameter-search
I Evolve an evolutionarry algorithm to optimize a sklearn MLP on the breast cancer datasetdetectron2-dormalarm
I use detectron2 to demonstrate a computer vision powered dorm room security system that leverages transfer learning.Intro-to-reinforcement-learning
This is a simple Q table based reinforcement learning algorithm aimed to help you get started. The task is for the agent cross a river represented by a string of dashes. I did not want to focus on the display of the environment much so it isnt a good interfaceMLP
implementation of a multi-layer perceptrongeneticml
This library uses genetic algorithms to for automated hyper-parameter optimization in Machine learning algorithms. this was done as my ICS674 evolutionary computation projectWells-Fargo-Campus-Analytics-Challenge-Natural-Language-Processing
In this challenge, the goal is to use a hierarchical topic model for clustering the provided data.TswanaBert
TswanaBERT is a transformer model pre-trained on a corpus of Setswana language data in a self-supervised fashion. works in both pytorch and TFLove Open Source and this site? Check out how you can help us