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The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
RNA, mRNA, DNA, Peptide, Protein, Antibody and Complex | Folding
Python package for processing image-based profiling data
An open-source application for biological image analysis
Morphological profiling using deep learning
Translate PDF, EPub, webpage, metadata, annotations, notes to the target language. Support 20+ translate services.
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone", 线性代数的艺术中文版, 欢迎PR.
a generalist algorithm for cellular segmentation with human-in-the-loop capabilities
Evolutionary Scale Modeling (esm): Pretrained language models for proteins
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Robust representation of semantically constrained graphs, in particular for molecules in chemistry
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Google Research
🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python…
active learning for accelerated high-throughput virtual screening
Open source code for AlphaFold 2.
Graphormer is a general-purpose deep learning backbone for molecular modeling.
A modular active learning framework for Python
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Python package for graph neural networks in chemistry and biology