ML Ops
Explore 798 open source projects in ML Ops
Showing 41-60 of 798 projects
microsoft/onnxruntime
High-performance ML inferencing and training accelerator
tensorflow/tfjs
A WebGL-accelerated JavaScript library for training and deploying ML models in the browser.
microsoft/LightGBM
A high-performance gradient boosting framework for machine learning tasks like ranking, classification, and more.
jtoy/awesome-tensorflow
A curated list of dedicated resources for the TensorFlow machine learning framework.
eriklindernoren/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks for AI and machine learning research.
rasbt/deeplearning-models
A collection of various deep learning architectures, models, and tips for AI and machine learning developers.
tensorflow/tensor2tensor
A library of deep learning models and datasets to make deep learning more accessible and accelerate ML research.
dair-ai/ml-visuals
A collection of figures and templates for improving scientific writing with machine learning.
thunlp/GNNPapers
A comprehensive collection of must-read papers on graph neural networks (GNN) for developers.
ddbourgin/numpy-ml
A comprehensive machine learning library in Python with implementations of various algorithms and models.
kubeflow/kubeflow
Kubeflow is a machine learning toolkit for building and deploying scalable ML pipelines on Kubernetes.
BrainJS/brain.js
A GPU-accelerated neural network library for building AI-powered web and Node.js applications.
tensorflow/tfjs-models
A collection of pre-trained machine learning models for TensorFlow.js, a library for running ML in the browser and on Node.js.
NVIDIA/DeepLearningExamples
A collection of state-of-the-art deep learning scripts for various AI/ML tasks, easily trainable and deployable.
horovod/horovod
Distributed training framework for deep learning models using popular ML libraries like TensorFlow, Keras, PyTorch, and MXNet.
microsoft/nni
An open-source AutoML toolkit for automating the machine learning lifecycle, including feature engineering, neural architecture search, and hyperparameter tuning.
deeplearning4j/deeplearning4j
Suite of tools for deploying and training deep learning models using the JVM
ivy-llc/ivy
Ivy is a Python library that simplifies converting machine learning code between frameworks like PyTorch, TensorFlow, and JAX.
visenger/awesome-mlops
A curated list of references for MLOps, the practice of managing and automating machine learning workflows.
apache/tvm
Open-source machine learning compiler framework for building and optimizing AI models across a variety of hardware.
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