Repository Index

Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.

• deep-learning
• protein-sequences
• protein-structure
• semi-supervised-learning

Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry

• deep-learning
• chemistry
• neural-network
• biology

DiffSharp: Differentiable Functional Programming

• machine-learning
• tensor
• dotnet
• autodiff

Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.

• histopathology-images
• microscopy
• sliding-windows
• medical-image-analysis

Graph-linked unified embedding for single-cell multi-omics data integration

• bioinformatics
• deep-learning
• single-cell
• single-cell-multiomics

Sequential regulatory activity predictions with deep convolutional neural networks.

Tools for computational pathology

• machine-learning
• digital-pathology
• computational-pathology
• biomedical-image-processing

GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations

Reference mapping for single-cell genomics

• single-cell
• deep-learning
• rna-seq-analysis
• data-integration

Deep Reinforcement Learning for de-novo Drug Design

• deeplearning
• reinforcement-learning
• cheminformatics
• molecular-modeling

Image restoration for fluorescence microscopy

Source code for "DeepDTA: deep drug-target binding affinity prediction"

• protein-ligand-interactions
• convolutional-neural-networks

RNA-seq prediction with deep convolutional neural networks.

Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell

• histology
• wsi-images
• pan-cancer-analysis
• genomics

Automated 3D cell detection in very large images

• microscopy
• cell-detection
• deep-learning
• image-analysis

PyTorch Connectomics: segmentation toolbox for EM connectomics

• computer-vision
• neuroscience
• connectomics
• pytorch

AI-based pathology predicts origins for cancers of unknown primary - Nature

• histology
• pathology
• wsi-images
• histopathology

The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"

• generative-adversarial-network
• mri-reconstruction
• computer-vision
• deep-learning

ChemML is a machine learning and informatics program suite for the chemical and materials sciences.

• quantum-mechanics
• materials-informatics
• data-science
• machine-learning

The V Tensor Library

• v
• hacktoberfest
• autograd
• deep-learning

TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments(BIOINFORMATICS 2020) https://doi.org/10.1093/bioinformatics/btaa524

• self-attention
• compound-protein-interaction
• transformercpi
• structure-free-virtual-sreening

⚡ Open-source software for deep learning-based digital pathology

• deep-learning
• machine-learning
• digital-pathology
• computational-pathology

A tool for cell instance aware segmentation in densely packed 3D volumetric images

• segmentation
• deep-learning
• bioinformatics
• neural-network

Axon/Myelin segmentation using Deep Learning

• deep-learning
• machine-learning
• myelin
• axon