Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell
- histology
- wsi-images
- pan-cancer-analysis
- genomics
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Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell
scPerturb: A resource and a python/R tool for single-cell perturbation data
ChatGPT Python Applications integrated with third party libraries and modules
Breaking captchas using torch
A python Two Source Energy Balance model for estimation of evapotranspiration with remote sensing data
🏃 The go-to single-cell Foundation Model
Optimising chemical reactions using machine learning
General Modeling Network Specification
How to create a Cartoonizer Android app with TensorFlow Lite models.
Cyber Defence Monitoring Course Suite :: Suricata, Arkime (and others in the past)
TranslatedA tiny Transformer built from scratch in PyTorch, with an English-to-Chinese translation demo | A small Transformer implemented from scratch with PyTorch, with an English-to-Chinese translation demo, to help understand how the model works
Compilado de recursos sobre Computação Quântica em português
daru-view is for easy and interactive plotting in web application & IRuby notebook. daru-view is a plugin gem to the existing daru gem.
Detecting cancers on mobile phones
Docker container for Kafka - Spark Streaming - Cassandra
PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturbations at bulk and single-cell levels.
BulkFormer: A large-scale foundation model for human bulk transcriptomes
A database of paths that represent the mechanism of action from a drug to a disease in an indication.
AuShadha (औषध): Means medicine in Sanskrit. This is a Electronic Medical Records (EMR) and Public Health Management for small clinics written in Django and Dojo
Code repository for The Automation Ahead series, showcasing practical examples for GenAI-driven automation in investments. Each installment dives into specific tools, techniques, and use cases to help professionals assess and apply GenAI effectively.
Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications
Jupyterlab extension to show notebook cell completion notifications
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.
High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations