Arian Amani
@ArianAmaniML Scientist @ Wellcome Sanger + AI VIVO | Generative Models for Cells & Molecules | Single-Cell Perturbations | Drug Discovery AI
Language Breakdown
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I-Shaped Developer
I-shapedSpecialist — deep expertise in Jupyter Notebook
Collaboration Network
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Repos
30
PRs
0
Growth
+18%
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Coding Streak
Contribution activity over the past year
Claude
@claude
Anshul Kundaje
@akundaje
Sebastian Birk
@sebastianbirk
AIVIVO
@AIVIVO
Adib Miraki Feriz
@AdibMiraki
Top Repositories
A Road Map To Deep Learning
Training a custom facial expression dataset on a Convolutional Neural Network
Latent Representation and Exploration of Images Using Variational AutoEncoders
A repository for implementations of different Deep Generative Models
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
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.
Open Source Impact
Contributions to external projects