neda-mehdiabadi Goto Github PK

covid19clinic

Templates and functions for opentrons robots. Functional protocols for RT-qPCR covid19 tests.

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.

drug2cell

Gene group activity utility functions for Scanpy

fetal-gene-program-snrnaseq

google-cloud-java

Google Cloud Client Library for Java

google-research

Google Research

heartexplorer

how-to-make-a-computer-operating-system

How to Make a Computer Operating System in C++

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

notebooks

Jupyter notebooks for the Natural Language Processing with Transformers book

pertpy

Perturbation Analysis in the scverse ecosystem.

pytorch-original-transformer

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

SciPy library main repository

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

the-algorithm

Source code for Twitter's Recommendation Algorithm

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.