Pinned Repositories
2020-essential-maths
2020 course materials for DTC essential maths
3D-VAE
A variational autoencoder for volumetric shape generation
AccessibleData
ANHIR_MW
Software used by the AGH team during the ANHIR challenge.
ci-course
CMEA
CMEA: An R package for Systematic Exploration of Single-Cell Morphological Phenotypes from Transcriptomic Profile
Content-Public
cross-modal-autoencoders
data-driven-drug-discovery
Materials for the SABS-R3 Data Driven Drug Discovery module
OpenWormData
EST09's Repositories
EST09/2020-essential-maths
2020 course materials for DTC essential maths
EST09/3D-VAE
A variational autoencoder for volumetric shape generation
EST09/AccessibleData
EST09/ANHIR_MW
Software used by the AGH team during the ANHIR challenge.
EST09/ci-course
EST09/CMEA
CMEA: An R package for Systematic Exploration of Single-Cell Morphological Phenotypes from Transcriptomic Profile
EST09/Content-Public
EST09/cross-modal-autoencoders
EST09/data-driven-drug-discovery
Materials for the SABS-R3 Data Driven Drug Discovery module
EST09/OpenWormData
EST09/PathProfiler
Pipeline for computational pathology
EST09/PMO_MeasuringFitnessperClone
EST09/ProbabilisticTeacher
An official implementation of ICML 2022 paper "Learning Domain Adaptive Object Detection with Probabilistic Teacher"."
EST09/PyOpenWorm
Unified, simple data access python library for data & facts about C. elegans anatomy
EST09/pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
EST09/PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
EST09/single-cell-tutorial
Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial"
EST09/ssd.pytorch
A PyTorch Implementation of Single Shot MultiBox Detector
EST09/stat453-deep-learning-ss21
STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)
EST09/swav
PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882
EST09/The-Academy-of-AI
EST09/tracker-commons
Compilation of information and code bases related to open-source trackers for C. elegans
EST09/tybalt
Training and evaluating a variational autoencoder for pan-cancer gene expression data
EST09/UnsupervisedPointCloudReconstruction
Experiments on unsupervised point cloud reconstruction.
EST09/Utils