emmentalA deep learning framework for building multimodal multi-task learning systems.
Stars: ✭ 93 (+481.25%)
CPGSteven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming Chan, and Chu-Song Chen, "Compacting, Picking and Growing for Unforgetting Continual Learning," Thirty-third Conference on Neural Information Processing Systems, NeurIPS 2019
Stars: ✭ 91 (+468.75%)
babelDeep learning model for single-cell inference of multi-omic profiles from a single input modality.
Stars: ✭ 20 (+25%)
GenomicDataCommonsProvide R access to the NCI Genomic Data Commons portal.
Stars: ✭ 64 (+300%)
Fine-Grained-or-NotCode release for Your “Flamingo” is My “Bird”: Fine-Grained, or Not (CVPR 2021 Oral)
Stars: ✭ 32 (+100%)
smartas📓Notebook of Climente-González et al. (2017), The Functional Impact of Alternative Splicing in Cancer.
Stars: ✭ 13 (-18.75%)
mtlearnMulti-Task Learning package built with tensorflow 2 (Multi-Gate Mixture of Experts, Cross-Stitch, Ucertainty Weighting)
Stars: ✭ 45 (+181.25%)
PCC-NetPCC Net: Perspective Crowd Counting via Spatial Convolutional Network
Stars: ✭ 63 (+293.75%)
MNIST-multitask6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"
Stars: ✭ 34 (+112.5%)
shiny-iatlasAn interactive web portal for exploring immuno-oncology data
Stars: ✭ 43 (+168.75%)
hotspot3d3D hotspot mutation proximity analysis tool
Stars: ✭ 43 (+168.75%)
melonnpanModel-based Genomically Informed High-dimensional Predictor of Microbial Community Metabolic Profiles
Stars: ✭ 20 (+25%)
torchMTLA lightweight module for Multi-Task Learning in pytorch.
Stars: ✭ 84 (+425%)
EasyRecA framework for large scale recommendation algorithms.
Stars: ✭ 599 (+3643.75%)
civicmineText mining cancer biomarkers for the CIVIC database
Stars: ✭ 19 (+18.75%)
DeepSegmentorA Pytorch implementation of DeepCrack and RoadNet projects.
Stars: ✭ 152 (+850%)
classifying-cancerA Python-Tensorflow neural network for classifying cancer data
Stars: ✭ 30 (+87.5%)
oncoEnrichRCancer-dedicated gene set interpretation
Stars: ✭ 35 (+118.75%)
Mask-YOLOInspired from Mask R-CNN to build a multi-task learning, two-branch architecture: one branch based on YOLOv2 for object detection, the other branch for instance segmentation. Simply tested on Rice and Shapes. MobileNet supported.
Stars: ✭ 100 (+525%)
IARC-nfList of IARC bioinformatics nextflow pipelines
Stars: ✭ 34 (+112.5%)
lung-image-analysisA basic framework for pulmonary nodule detection and characterization in CT
Stars: ✭ 26 (+62.5%)
cpsrCancer Predisposition Sequencing Reporter (CPSR)
Stars: ✭ 44 (+175%)
GeneFuseGene fusion detection and visualization
Stars: ✭ 90 (+462.5%)
multi-task-learningMulti-task learning smile detection, age and gender classification on GENKI4k, IMDB-Wiki dataset.
Stars: ✭ 154 (+862.5%)
temporal-depth-segmentationSource code (train/test) accompanying the paper entitled "Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach" in CVPR 2019 (https://arxiv.org/abs/1903.10764).
Stars: ✭ 20 (+25%)
mauiMulti-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit
Stars: ✭ 42 (+162.5%)
Multi-task-Conditional-Attention-NetworksA prototype version of our submitted paper: Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creatives.
Stars: ✭ 21 (+31.25%)
cancer-dataTCGA data acquisition and processing for Project Cognoma
Stars: ✭ 17 (+6.25%)
civic-serverBackend Server for CIViC Project
Stars: ✭ 39 (+143.75%)
OpenOmicsA bioinformatics API and web-app to integrate multi-omics datasets & interface with public databases.
Stars: ✭ 22 (+37.5%)
Pytorch-PCGradPytorch reimplementation for "Gradient Surgery for Multi-Task Learning"
Stars: ✭ 179 (+1018.75%)
arribaFast and accurate gene fusion detection from RNA-Seq data
Stars: ✭ 162 (+912.5%)
SlicerRadiomicsA Slicer extension to provide a GUI around pyradiomics
Stars: ✭ 83 (+418.75%)
cups-rlCustomisable Unified Physical Simulations (CUPS) for Reinforcement Learning. Experiments run on the ai2thor environment (http://ai2thor.allenai.org/) e.g. using A3C, RainbowDQN and A3C_GA (Gated Attention multi-modal fusion) for Task-Oriented Language Grounding (tasks specified by natural language instructions) e.g. "Pick up the Cup or else"
Stars: ✭ 38 (+137.5%)
ci4cc-informatics-resourcesCommunity-maintained list of resources that the CI4CC organization and the larger cancer informatics community have found useful or are developing.
Stars: ✭ 22 (+37.5%)
FOCAL-ICLRCode for FOCAL Paper Published at ICLR 2021
Stars: ✭ 35 (+118.75%)
mageriMAGERI - Assemble, align and call variants for targeted genome re-sequencing with unique molecular identifiers
Stars: ✭ 19 (+18.75%)
agegenderLMTCNNJia-Hong Lee, Yi-Ming Chan, Ting-Yen Chen, and Chu-Song Chen, "Joint Estimation of Age and Gender from Unconstrained Face Images using Lightweight Multi-task CNN for Mobile Applications," IEEE International Conference on Multimedia Information Processing and Retrieval, MIPR 2018
Stars: ✭ 39 (+143.75%)
cacaoCallable Cancer Loci - assessment of sequencing coverage for actionable and pathogenic loci in cancer
Stars: ✭ 21 (+31.25%)
amta-netAsymmetric Multi-Task Attention Network for Prostate Bed Segmentation in CT Images
Stars: ✭ 26 (+62.5%)
superacao-appAplicativo para o projeto "Anjos do SuperAção"
Stars: ✭ 17 (+6.25%)
NeuralMergerYi-Min Chou, Yi-Ming Chan, Jia-Hong Lee, Chih-Yi Chiu, Chu-Song Chen, "Unifying and Merging Well-trained Deep Neural Networks for Inference Stage," International Joint Conference on Artificial Intelligence (IJCAI), 2018
Stars: ✭ 20 (+25%)
2020plusClassifies genes as an oncogene, tumor suppressor gene, or as a non-driver gene by using Random Forests
Stars: ✭ 44 (+175%)
MINTIEMethod for Identifying Novel Transcripts and Isoforms using Equivalence classes, in cancer and rare disease.
Stars: ✭ 24 (+50%)
Front-EndFederated Learning based Deep Learning. Docs: https://fets-ai.github.io/Front-End/
Stars: ✭ 35 (+118.75%)
RNAseq titration resultsCross-platform normalization enables machine learning model training on microarray and RNA-seq data simultaneously
Stars: ✭ 22 (+37.5%)
civic-clientWeb client for CIViC: Clinical Interpretations of Variants in Cancer
Stars: ✭ 49 (+206.25%)
Mt DnnMulti-Task Deep Neural Networks for Natural Language Understanding
Stars: ✭ 1,871 (+11593.75%)
bacnetBACNET is a Java based platform to develop website for multi-omics analysis
Stars: ✭ 12 (-25%)