Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes
Tensorflow GitHub Repositories (2026) · Open Source Tools
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Visualizer for neural network, deep learning and machine learning models
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Deep Learning for humans
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
Open standard for machine learning interoperability
NVIDIA Federated Learning Application Runtime Environment
NVR with realtime local object detection for IP cameras
An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.
A retargetable MLIR-based machine learning compiler and runtime toolkit.
Neural Network Compression Framework for enhanced OpenVINO™ inference
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
zea: A Toolbox for Cognitive Ultrasound Imaging
An Open Source Machine Learning Framework for Everyone
Distributed AI Model Training and LLM Fine-Tuning on Kubernetes
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.
Image augmentation for computer vision. AGPL-3.0-only or commercial licensing.
XR Blocks is a lightweight WebXR + AI library for rapidly prototyping advanced AI + XR experiences.
Fast & Simple Resource-Constrained Learning of Deep Network Structure