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ATOMScience-org/AMPL

The ATOM Modeling PipeLine (AMPL) is an open-source, modular, extensible software pipeline for building and sharing models to advance in silico drug discovery.

Language: Jupyter Notebook - Size: 222 MB - Last synced: 3 days ago - Pushed: 3 days ago - Stars: 130 - Forks: 59

ECP-CANDLE/Supervisor

Language: Shell - Size: 46.3 MB - Last synced: 4 days ago - Pushed: 5 days ago - Stars: 7 - Forks: 17

CBIIT/NCI-DOE-Collab-Pilot2-MuMMI

Multiscale Machine-learned Modeling Infrastructure (MuMMI) is a methodology that the Pilot 2 team has developed to study the interaction of active KRAS with the plasma membrane (and related phenomena) on very large temporal and spatial scales.

Size: 3.36 MB - Last synced: about 1 month ago - Pushed: over 2 years ago - Stars: 6 - Forks: 2

CBIIT/NCI-DOE-Collab-Pilot1-Single_Drug_Response

Using the Random Forest machine learning algorithm to predict the concentration, cell line- and drug-dependent response function.

Language: C++ - Size: 47.9 KB - Last synced: about 1 month ago - Pushed: over 3 years ago - Stars: 1 - Forks: 0

CBIIT/NCI-DOE-Collab-Pilot3-Active_learning_NLP

Language: Jupyter Notebook - Size: 15 MB - Last synced: about 1 month ago - Pushed: about 2 years ago - Stars: 1 - Forks: 1

CBIIT/NCI-DOE-Collab-Pilot3-Pathology-Reports-Hierarchical-Self-Attention-Network

Language: Python - Size: 37.2 MB - Last synced: about 1 month ago - Pushed: 11 months ago - Stars: 5 - Forks: 1

CBIIT/NCI-DOE-Collab-Pilot1-Tumor-Classifier

Language: Python - Size: 129 MB - Last synced: about 1 month ago - Pushed: 6 months ago - Stars: 1 - Forks: 4

CBIIT/NCI-DOE-Collab-Pilot3-Multitask-Convolutional-Neural-Network

MT-CNN is a CNN for Natural Language Processing and Information Extraction from free-form texts. BSEC group designed the model for information extraction from cancer pathology reports.

Language: Python - Size: 37.1 MB - Last synced: about 1 month ago - Pushed: 10 months ago - Stars: 1 - Forks: 1

CBIIT/TULIP

Classifying RNA-seq samples into different tumor types.

Language: Python - Size: 2.53 MB - Last synced: about 1 month ago - Pushed: 10 months ago - Stars: 2 - Forks: 1

CBIIT/NCI-DOE-Collab-Pilot1-Image-Generator-for-Tabular-Data Fork of zhuyitan/IGTD

Image Generator for Tabular Data (IGTD): Converting Tabular Data to Images for Deep Learning Using Convolutional Neural Networks

Language: Python - Size: 1.38 MB - Last synced: about 1 month ago - Pushed: almost 3 years ago - Stars: 3 - Forks: 1

ECP-CANDLE/Benchmarks

ECP-CANDLE Benchmarks

Language: Python - Size: 217 MB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 55 - Forks: 83

CBIIT/CTULIP

Modified version for TULIP to classify Canine RNA-seq samples into different tumor types.

Language: Python - Size: 645 KB - Last synced: about 1 month ago - Pushed: over 1 year ago - Stars: 1 - Forks: 1

ECP-CANDLE/Candle

ECP-CANDLE level documentation

Language: HTML - Size: 9.41 MB - Last synced: 10 months ago - Pushed: 11 months ago - Stars: 6 - Forks: 7

CBIIT/NCI-DOE-Collab-Pilot1-Gene-Expression-Autoencoder

Language: Python - Size: 127 MB - Last synced: about 1 month ago - Pushed: almost 3 years ago - Stars: 1 - Forks: 2

CBIIT/NCI-DOE-Collab-Pilot3-FrESCO-Framework-for-Exploring-Scalable-Computational-Oncology

A modular deep-learning natural language processing (NLP) library for extracting pathology information from clinical text documents

Language: Python - Size: 14.2 MB - Last synced: about 1 month ago - Pushed: 11 months ago - Stars: 0 - Forks: 0

CBIIT/NCI-DOE-Collab-Pilot2-Autoencoder_MD_Simulation_Data

CBIIT copy of the CANDLE P2B1 benchmark code from https://github.com/ECP-CANDLE/Benchmarks/tree/develop/Pilot2/P2B1, which uses an autoencoder to generate a compressed representation of molecular dynamics simulation data

Language: Python - Size: 163 MB - Last synced: about 1 month ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

CBIIT/NCI-DOE-Collab-Pilot1-Unified-Drug-Response-Predictor-Multi-tasking

The Pilot 1 Multi-tasking Unified Drug Response Predictor benchmark, shows how to train and use a neural network model to predict tumor dose response across multiple data sources implementing UNO in PyTorch.

Language: Python - Size: 163 MB - Last synced: about 1 month ago - Pushed: about 1 year ago - Stars: 0 - Forks: 1

CBIIT/NCI-DOE-Collab-Pilot1-Unified-Drug-Response-Predictor

Language: Python - Size: 126 MB - Last synced: about 1 month ago - Pushed: about 1 year ago - Stars: 1 - Forks: 1

CBIIT/NCI-DOE-Collab-Pilot1-Normal-Tumor-Pair-Classifier

Language: Python - Size: 151 MB - Last synced: about 1 month ago - Pushed: almost 3 years ago - Stars: 0 - Forks: 0

CBIIT/NCI-DOE-Collab-Pilot3-SYNDATA

Suite of statistical/machine learning methods to generate discrete/categorical synthetic data

Language: Python - Size: 93.8 KB - Last synced: about 1 month ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 1

CBIIT/NCI-DOE-Collab-Pilot3-LSTM-based-Clinical-Text-Generator

Builds LSTM-based model to generate synthetic biomedical text of desired clinical context

Language: Python - Size: 163 MB - Last synced: about 1 month ago - Pushed: about 2 years ago - Stars: 0 - Forks: 0

CBIIT/NCI-DOE-Collab-Pilot3-Multitask-DNN-NLP-Extraction

Builds a multitask DNN model for information extraction from unstructured texts

Language: Python - Size: 163 MB - Last synced: about 1 month ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 0

CBIIT/NCI-DOE-Collab-Pilot2-MemSurfer

MemSurfer

Language: Python - Size: 4.41 MB - Last synced: about 1 month ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

CBIIT/NCI-DOE-Collab-Pilot1-Semi-Supervised-Feature-Learning-with-Center-Loss

Language: Python - Size: 1.13 MB - Last synced: about 1 month ago - Pushed: about 1 year ago - Stars: 0 - Forks: 1

CBIIT/NCI-DOE-Collab-Pilot2-MemSurfer-orig

MemSurfer is a tool to compute and analyze membrane surfaces found in a wide variety of large-scale molecular simulations. MemSurfer works independent of the type of simulation, directly on the 3D point coordinates.

Size: 4.27 MB - Last synced: about 1 month ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

CBIIT/NCI-DOE-Collab-Pilot1-Learning-Curve Fork of DOE-NCI-Pilot1/Learning

Learning curves

Language: Python - Size: 2.62 MB - Last synced: about 1 month ago - Pushed: almost 3 years ago - Stars: 0 - Forks: 0

CBIIT/NCI-DOE-Collab-Pilot1-Enhanced-COXEN Fork of zhuyitan/Enhanced_COXEN

Enhanced Co-Expression Extrapolation (COXEN) Gene Selection Method for Building Drug Response Prediction Models

Language: Python - Size: 722 KB - Last synced: about 1 month ago - Pushed: almost 3 years ago - Stars: 0 - Forks: 1

CBIIT/NCI-DOE-Collab-Pilot3-Pathology-Reports-HAN

Hierarchical attention networks for information extraction from cancer pathology reports.

Language: Python - Size: 2.2 MB - Last synced: about 1 month ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

CBIIT/NCI-DOE-Collab-Pilot1-Single-Drug-Response-Predictor

Language: Python - Size: 126 MB - Last synced: about 1 month ago - Pushed: almost 3 years ago - Stars: 0 - Forks: 2

CBIIT/NCI-DOE-Collab-Pilot2-DynIm Fork of LLNL/dynim

Dynamic Importance Sampling

Language: Python - Size: 36.1 KB - Last synced: about 1 month ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

Ecosyste.ms: Repos

GitHub topics: nci-doe-collaboration-capability