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Curated list of the best truly open-source AI projects, models, tools, and infrastructure. Daily updated.
GitHub stars and default-branch commits for alvinreal/awesome-opensource-ai.
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Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
Supercharge Your Model Training
Probabilistic time series modeling in Python
Time series forecasting with PyTorch
An Engine-Agnostic Deep Learning Framework in Java
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
LLM training code for Databricks foundation models
Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
A retargetable MLIR-based machine learning compiler and runtime toolkit.
The official CLI and Python client for the Hugging Face Hub.
AI Infra / AI Orchestration / AI Control Plane
🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
PyTorch native quantization for training and inference
Data manipulation and transformation for audio signal processing, powered by PyTorch
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
Machine learning metrics for distributed, scalable PyTorch applications.
Automated Machine Learning on Kubernetes
The good ol' Forge WebUI, now updated with new features~
A Data Streaming Library for Efficient Neural Network Training
An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.
Scalable and memory-optimized training of diffusion models
FAIR Sequence Modeling Toolkit 2