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Starred repositories
A project to run multiple languages in a system
This repository contains the python package for Helical
List of Molecular and Material design using Generative AI and Deep Learning
Robust representation of semantically constrained graphs, in particular for molecules in chemistry
Single-Cell (Perturbation) Model Library
Kaytu's AI platform boosts cloud efficiency by analyzing historical usage and delivering intelligent recommendations—such as optimizing instance sizes—that maintain reliability. Pay for what you ne…
🦜🔗 Build context-aware reasoning applications
Deep probabilistic analysis of single-cell and spatial omics data
🔥Highlighting the top ML papers every week.
utilities for decoding deep representations (like sentence embeddings) back to text
Personal implementation of ASIF by Antonio Norelli
End-to-end analysis of spatial multi-omics data
Reference mapping for single-cell genomics
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 dr…
Single-cell analysis in Python. Scales to >1M cells.
A review of Linear Algebra in Persian (Based on the Machine Learning course, CS229, offered by Stanford)
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Updated Jun 16, 2023
A curated list of awesome anomaly detection resources
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Awesome free machine learning and AI courses with video lectures.
Machine Learning Course, Sharif University of Technology
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
