The fundamental package for scientific computing with Python.
- numpy
- python
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AI Toolkit for Healthcare Imaging
- healthcare-imaging
- deep-learning
- medical-image-computing
- medical-image-processing
Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.
- quantum-computing
- qiskit
- sdk
- quantum-programming-language
Python framework for creating, editing, and running Noisy Intermediate-Scale Quantum (NISQ) circuits.
- nisq
- quantum-algorithms
- quantum-computing
- cirq
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
- machine-learning
- trading
- investing
- research
Eclipse SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation.
- traffic
- simulation
- transport
Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.
- mesa
- agent-based-modeling
- agent-based-simulation
- simulation-framework
Message Passing Neural Networks for Molecule Property Prediction
- machine-learning
- chemistry
- neural-networks
- drug-discovery
PyWavelets - Wavelet Transforms in Python
- wavelets
- wavelet-transform
- signal-processing
- image-processing
This package contains deep learning models and related scripts for RoseTTAFold
WeeWX code repository
- weather
- python
- weewx
- raspberry-pi
🦖 ClawBio - The first bioinformatics-native AI agent skill library. Local-first. Reproducible. Open. Free.
- ai-agents
- bioinformatics
- equity
- genomics
An open-source application for biological image analysis
3D medical imaging reconstruction software
- dicom
- dicom-viewer
- magnetic-resonance-imaging
- medical-image-processing
Python package for graph neural networks in chemistry and biology
- deep-learning
- graph-neural-networks
- dgl
- cheminformatics
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
- kmer
- dnabert-model
- kmer-format
- gpu
Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
- deep-learning
- protein-sequences
- protein-structure
- semi-supervised-learning
Official release of the ProGen models
- language-model
- protein
- generative-model
⚗ A package useful for chemistry written in Python
- chemistry
- physical-chemistry
- chemical-kinetics
- chemical-formulas
Spatial Single Cell Analysis in Python
- single-cell-rna-seq
- single-cell-genomics
- spatial-transcriptomics
- spatial-analysis
A Python Package for Protein Dynamics Analysis
- python
- protein
- dynamics
Vision-Language Pathology Foundation Model - Nature Medicine
- bioimage-analysis
- bioimage-informatics
- conch
- foundation-model
Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.
- histopathology-images
- microscopy
- sliding-windows
- medical-image-analysis