Alternatives and similar repositories for multitask-learning-protein-prediction

Users that are interested in multitask-learning-protein-prediction are comparing it to the libraries listed below

• wentaozhu / protein-cascade-cnn-lstm
  Implementation of IJCAI15 cascade cnn and LSTM for protein secondary structure prediction
  ☆36Updated 8 years ago
• SeongokRyu / uq_molecule
  Uncertainty quantification of molecular property prediction using Bayesian deep learning
  ☆45Updated 6 years ago
• lyeoni / keras-mnist-CVAE
  ☆15Updated 7 years ago
• xypan1232 / iDeepE
  inferring RBP binding sites and motifs using local and global CNNs
  ☆19Updated 6 years ago
• ZJULearning / graph_level_drug_discovery
  ☆61Updated 6 years ago
• bioinf-jku / interpretable_ml_drug_discovery
  Interpreting graph convolutional filters of target prediction network
  ☆48Updated 6 years ago
• Praneet9 / Visualising-LSTM-Activations
  Visualising what each LSTM cell learns from data.
  ☆24Updated 6 years ago
• kaushalshetty / SMOTE
  Synthetic Minority Over-sampling Technique
  ☆41Updated 8 years ago
• QUST-AIBBDRC / DNN-DTIs
  DNN-DTIs: improved drug-target interactions prediction using XGBoost feature selection and deep neural network
  ☆12Updated 4 years ago
• nrohani / NDD
  Drug-Drug Interaction Predicting by Neural Network Using Integrated Similarity
  ☆29Updated 4 years ago
• yabozkurt / gmvae
  Repository for 'Interpretable embeddings from molecular simulations using gaussian mixture variational autoencoders'
  ☆20Updated 6 years ago
• Bjoux2 / DeepDTIs_DBN
  Deep learning-based drug-target interaction prediction / Deep belief net (DBN) based on Theano
  ☆49Updated 6 years ago
• LBBSoft / FeatureSelect
  FeatureSelect
  ☆23Updated 6 years ago
• HYsxe / ACME
  Supplementary data for the ACME algorithm
  ☆23Updated 3 years ago
• SuperXiang / High-Dimensional-Feature-Selection-of-Medical-Data
  Feature Selection by Optimized LASSO algorithm
  ☆17Updated 8 years ago
• oulenz / fuzzy-rough-learn
  A library of fuzzy rough machine learning algorithms
  ☆30Updated 5 months ago
• dmis-lab / tbinet
  TBiNet: A deep neural network for predicting transcription factor binding sites using attention mechanism
  ☆25Updated 5 years ago
• chcorbi / MultiTaskLearning
  Package to apply MTL on a few dataset
  ☆26Updated 9 years ago
• exalearn / covid-drug-design
  Code and analyses related to the ExaLearn drug design efforts
  ☆11Updated 5 years ago
• pulimeng / CancerOmicsNet
  A Graph Neural Network Model for prediction of the effectiveness of a drug on a given cancer cell lines
  ☆17Updated 2 years ago
• pfnet-research / hierarchical-molecular-learning
  Implementation of "Semi-supervised learning of hierarchical representations of molecules using neural message passing" (arXiv:1711.10168)
  ☆14Updated 7 years ago
• stephenliu0423 / PyDTI
  ☆33Updated 7 years ago
• XuhanLiu / NGFP
  PyTorch-based Neural Graph Fingerprint for Organic Molecule Representations
  ☆27Updated 5 years ago
• flawnson / Graph_convolutional_NN_molecule_maker
  A Graph Neural Network (Geometric machine learning) for molecular generation
  ☆21Updated 6 years ago
• msultan / vde_metadynamics
  Enhanced protein mutational sampling using time-lagged variational autoencoders
  ☆30Updated 7 years ago
• njchoma / DGAPN
  This repository implements Distilled Graph Attention Policy Networks (DGAPNs), a curiosity-driven reinforcement learning model to generat…
  ☆21Updated 4 years ago
• ehsanasgari / DeepPrime2Sec
  ☆26Updated 3 years ago
• vermaMachineLearning / keras-deep-graph-learning
  Welcome to Keras Deep Learning on Graphs (Keras-DGL) http://vermaMachineLearning.github.io/keras-deep-graph-learning
  ☆103Updated 3 years ago
• AlexGidiotis / Advanced-ML-techniques
  This repo contains implementation of advanced ML techniques. Includes model ensembles, cost-sensitive learning and dealing with class imb…
  ☆18Updated 7 years ago
• tony-hong / event-embedding-multitask
  *SEM 2018: Learning Distributed Event Representations with a Multi-Task Approach
  ☆21Updated 7 years ago