Multilabel Text Sequence Classification
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Updated
Mar 15, 2023
Multilabel Text Sequence Classification
music genre classification using 2D CNN, 1D CNN - LSTM and Librosa
This is the repository to my bachelor's thesis. The aim was to classify antisemitic comments. A custom dataset was created with the 4chan API and labeled. Different DistilBERT models for sequence-classification were trained and compared. A case study was then conducted.
Saccharomyces cerevisiae information, gene calling and ORF identification assistant
This is a repository with the assignments of IE678 Deep Learning course at University of Mannheim.
A visual debugging tool for fine-tuned BERT models for (multilabel) sequence classification tasks
A useful repository for calculating classification baselines using Bert
NLP Project - Sentence Classification - Toxicity- Approx 20,000 comments - ranging from 2 to 30 words. Balanced Data Set. 1. Traditional, pre-2010 NLP and ML techniques used. 2. Dense Word Vectors - w2v & Glove, sentence vector created from averaged word vectors, ANN. 3. Glove combined with bi-LSTMs and 2D Convs.
Applied Deep Learning 深度學習之應用 by Vivian Chen 陳縕儂 at NTU CSIE
Retrieve annotated intron sequences and classify them as minor (U12-type) or major (U2-type) using a support vector-machine model.
Second place solution for McKinsey Analytics Hackathon
This web based application takes a user input and shows the sentiment and polarity scores of the user's input.
A model for predicting short antimicrobial peptides (length <=30 residues) using multiple features and deep learning approaches
In this project we are going to create a network to predict a category for the sequence.
Developed system for the "Climate Activism Stance and Hate Event Detection" Shared Task at CASE 2024
Encode and decode hand movements using C# and Kinect. Based on K-means and Hidden Markov Models.
Data pipelines for both TensorFlow and PyTorch!
Submission for SemEval 2023 Task 10 EDOS
Predict intent from user queries
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