Name: Neda R. Mehdiabadi
Type: User
Company: Murdoch Children's Research Institute
Bio: Research officer at Murdoch children's research institute, Melbourne.
Twitter: rahmani_neda
Location: Melbourne, Australia
Blog: https://www.researchgate.net/scientific-contributions/Neda-R-Mehdiabadi-2191070922
Neda R. Mehdiabadi's Projects
Templates and functions for opentrons robots. Functional protocols for RT-qPCR covid19 tests.
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.
Gene group activity utility functions for Scanpy
Google Cloud Client Library for Java
Google Research
How to Make a Computer Operating System in C++
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Jupyter notebooks for the Natural Language Processing with Transformers book
Perturbation Analysis in the scverse ecosystem.
My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.
SciPy library main repository
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Source code for Twitter's Recommendation Algorithm
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.