ArianAmani
Computer Science @SapienzaRoma | Machine Learning for Biology and Drug Discovery | Working on Deep Generative Models for Single-Cell Genomics
Wellcome Sanger InstituteRome, Italy
Pinned Repositories
AI-Course-AUT
Codes for the assignments of the Artificial Intelligence Course at Amirkabir University of Technology
ArianAmani
arianamani.github.io
ArianAmani.github.io.old
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
DL-RoadMap
A Road Map To Deep Learning
Face-Alter
Latent Representation and Exploration of Images Using Variational AutoEncoders
Facial-Emotion-Recognition
Training a custom facial expression dataset on a Convolutional Neural Network
scRNA-Analysis-Project
Final project preparation for the graduate course "ML for Bioinformatics" at Sharif University of Technology | Spring 2023
Introduction_to_Machine_Learning
دورهی مقدمهای بر یادگیری ماشین، برای دانشجویان
cpa
The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell level. CPA performs OOD predictions of unseen combinations of drugs, learns interpretable embeddings, estimates dose-response curves, and provides uncertainty estimates.
ArianAmani's Repositories
ArianAmani/DL-RoadMap
A Road Map To Deep Learning
ArianAmani/Facial-Emotion-Recognition
Training a custom facial expression dataset on a Convolutional Neural Network
ArianAmani/AI-Course-AUT
Codes for the assignments of the Artificial Intelligence Course at Amirkabir University of Technology
ArianAmani/ArianAmani
ArianAmani/arianamani.github.io
ArianAmani/ArianAmani.github.io.old
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
ArianAmani/Face-Alter
Latent Representation and Exploration of Images Using Variational AutoEncoders
ArianAmani/scRNA-Analysis-Project
Final project preparation for the graduate course "ML for Bioinformatics" at Sharif University of Technology | Spring 2023
ArianAmani/gautamkrishnar
Yet another GitHub profile readme :smiley:
ArianAmani/github-readme-stats
:zap: Dynamically generated stats for your github readmes
ArianAmani/Mask-Detection
Mask Detection using Yolov4(Object Detection)
ArianAmani/nichecompass
End-to-end analysis of spatial multi-omics data
ArianAmani/preimutils
All you need to preprocess and prepare your annotated dataset
ArianAmani/scanpy
Single-cell analysis in Python. Scales to >1M cells.
ArianAmani/sCPA
The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell level. CPA performs OOD predictions of unseen combinations of drugs, learns interpretable embeddings, estimates dose-response curves, and provides uncertainty estimates. Added causal representation via sparsity.
ArianAmani/scvi-tools
Deep probabilistic analysis of single-cell omics data
ArianAmani/TheseThingsDoNotExist
A repository for implementations of different Deep Generative Models