Stars
A Pytorch-based toolkit for evaluating machine learning models.
Automated and variant-aware CRISPR/Cas9 editing outcome predictor
Survival analysis built on top of scikit-learn
Predicting multiple types of Modification sites in RNA using GAN (MR-GAN)
Identification of DNA N4-methylcytosine sites and N6-methyladenine sites through elastic net and bidirectional gated recurrent unit with convolutional neural network
A game theoretic approach to explain the output of any machine learning model.
Implementation of ProteinBERT in Pytorch
Motif Transformers for Predicting Protein-Protein Interactions Between a Novel Virus and Humans
Incorporating Pre-training of Deep Bidirectional Transformers and Convolutional Neural Networks to Interpret DNA Sequences
Deep6mA is a deep-learning-based framework to predict 6mA-containing sequences.
DeepATT, a hybrid deep neural network method for identifying functional effects of DNA sequences.
Deep learning tool for the prediction of nucleosome positioning prediction.
A text classifier fine tuned on pre-trained BERT for Sarcasm Detection in News Headlines (PyTorch Implementation)
Implementation of State-of-the-art Text Classification Models in Pytorch
CNNs for Classification in PyTorch
A PyTorch Tutorials of Sentiment Analysis Classification (RNN, LSTM, Bi-LSTM, LSTM+Attention, CNN)
Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained
Application of rnn-gan to machine translation
Application of rnn-gan to machine translation