Awesome GitHub RepositoriesMachine Learning and Analytics

MONAI is a PyTorch-based deep learning framework and library specifically designed for healthcare imaging. It provides a suite of domain-specific neural network architectures, specialized loss functions, and preprocessing pipelines tailored for analyzing multi-dimensional medical data. The project distinguishes itself through a decentralized federated learning system that allows models to learn from datasets across multiple institutions without exchanging raw patient images. It also features AI-assisted medical image annotation tools and a standardized model bundling system to ensure consiste

MedicalGPT is an open-source framework for fine-tuning large language models, with a dedicated focus on adapting general models to the medical domain. It provides a complete pipeline that covers continued pretraining on domain-specific corpora, supervised instruction tuning, tokenizer vocabulary extension with medical terminology, and alignment to clinician preferences through direct preference optimization, reinforcement learning, or knowledge distillation. The framework also supports training models to invoke external tools and functions in multi-turn clinical conversations. The platform di

Oryx 2: Lambda architecture on Apache Spark, Apache Kafka for real-time large scale machine learning

A Deep Learning Python Toolkit for Healthcare Applications.

ADAM is a genomics analysis platform with specialized file formats built using Apache Avro, Apache Spark, and Apache Parquet. Apache 2 licensed.

Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis

RHadoop

Fast spatial deconvolution via leverage-score sketching — scales to million-spot datasets while preserving rare cell type signals.