IBM / depiction
interpret deep learning models in a framework-independent fashion
☆40Updated last year
Related projects: ⓘ
- Pandas ExtensionDtypes for dealing with genomics data☆47Updated last year
- Tools for munging genomic data☆21Updated 5 years ago
- Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)☆86Updated 2 years ago
- ☆19Updated this week
- Bioinformatics 2020: Graph Neural Networks for DNA Sequence Classification☆32Updated 3 years ago
- Implementation of Protein Classification based on subcellular localization using ProtBert(Rostlab/prot_bert_bfd_localization) model from …☆42Updated 4 months ago
- CPU and GPU deterministic and therefore fully reproducible machine learning pipelines using MLflow.☆46Updated last year
- Tools for building and manipulating graphs in Python☆41Updated last year
- An unsupervised transfer learning approach for rare disease transcriptomics☆44Updated 4 years ago
- Simple and efficient access to genomic data for deep learning models.☆43Updated 4 years ago
- NeurIPS17: [AttentiveChrome] Attend and Predict: Using Deep Attention Model to Understand Gene Regulation by Selective Attention on Chrom…☆27Updated 3 years ago
- Avocado is a multi-scale deep tensor factorization model that learns a latent representation of the human epigenome and enables imputatio…☆113Updated 2 years ago
- PETAL (ParallEl paThways AnaLyzer): a Python tool for deep biological pathway analysis☆35Updated last year
- Model zoo for genomics☆163Updated last month
- GenoML (genoml2) is an open source Python package. It is an automated machine learning (autoML) platform for genomics data☆26Updated last month
- Variational Auto-Encoder that generates synthetic gene expression data☆21Updated last year
- Denoising Autoencoders for Phenotype Stratification☆42Updated 5 years ago
- Code sharing related to DREAM challenges☆23Updated 7 years ago
- deep learning toolkit (written on top of tensorflow) to streamline computational biology analysis☆23Updated last year
- Python translation of the hybrid dynamicTreeCut method as created by Peter Langfelder and Bin Zhang.☆37Updated 3 years ago
- ☆53Updated last week
- Workshop on Deep Learning for Health and Life Sciences☆14Updated last year
- code for Gogleva et al manuscript☆45Updated last year
- ☆24Updated 2 years ago
- Python API for Genomic Data Commons☆18Updated 7 years ago
- Python Wrapper for FIt-SNE☆45Updated 3 years ago
- EmbedGEM: A framework to evaluate the utility of embeddings for genetic discovery☆18Updated 9 months ago
- Latent spaces for single cells☆22Updated 10 months ago
- Cancer Drug Response prediction using a Recommender System☆41Updated last year
- ☆19Updated 3 years ago