Awesome Big Data
Section: Frameworks · A platform for reproducible and scalable machine learning and deep learning.
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Appears in 9 awesome lists
MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle. Reproducible and scalable machine learning workflows on Kubernetes with experiment tracking, model management, and pipeline orchestration. Apache 2.0 licensed.
Section: Frameworks · A platform for reproducible and scalable machine learning and deep learning.
Section: Deep Learning Packages
Section: ML Platforms · Machine Learning Management & Orchestration Platform.
Section: C++ · A platform for reproducible and scalable machine learning and deep learning.
Section: Machine Learning Platform · A platform for reproducible and scalable machine learning and deep learning on kubernetes.
Section: 8. MLOps / LLMOps & Production · MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle. Reproducible and scalable machine learning workflows on Kubernetes with experiment tracking, model management, and pipeline orchestration. Apache 2.0 licensed.
Section: Workflow platforms · A platform for machine learning experimentation workflow.
Section: Model, Data and Experiment Management · A platform for reproducible and scalable machine learning and deep learning on kubernetes - (Video).
Section: Server Infrastructure and High Performance Computing · A platform for reproducing and managing the whole life cycle of machine learning and deep learning applications.
How to use the Hexagon Delegate to speed up model inference on mobile and edge devices. Also see blog post Accelerating TensorFlow Lite on Qualcomm Hexagon DSPs.
(label: good first issue) PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing.
Visualizer for deep learning and machine learning models (no Python code, but visualizes models from most Python Deep Learning frameworks).
Production-grade platform for running any open-source LLMs as OpenAI-compatible API endpoints. Supports 50+ models with built-in streaming, batching, and auto-acceleration. Apache 2.0 licensed.
Allows the user to manipulate documents based on data to render charts in SVG.
PyTorch's official computer vision library with 50+ pre-trained model architectures including ResNet, EfficientNet, Vision Transformers (ViT), ConvNeXt, and more. The de facto standard model zoo for PyTorch computer vision. BSD-3-Clause licensed.
Easy way for everyone in your company to ask questions and learn from data. (Source Code) AGPL-3.0 Java/Docker
Neural Networks on top of tensorflow, examples. keras-contrib - Keras community contributions. keras-tuner - Hyperparameter tuning for Keras. hyperas - Keras + Hyperopt: Convenient hyperparameter optimization wrapper. elephas - Distributed Deep learning with Keras & Spark. tflearn - Neural…