ML Ops
Explore 799 open source projects in ML Ops
Showing 361-380 of 799 projects
zoubohao/DenoisingDiffusionProbabilityModel-ddpm-
A simple implementation of the Denoising Diffusion Probability Model (DDPM) for training a U-Net on the CIFAR-10 dataset.
SheffieldML/GPy
GPy is a Gaussian processes framework in Python, providing a flexible toolkit for Bayesian modeling and machine learning.
githubharald/SimpleHTR
A handwritten text recognition system implemented using TensorFlow for developers working with computer vision and OCR.
atriumlts/subpixel
A Tensorflow-based library for super-resolution image processing using subpixel convolution networks.
0xemmkty/QuantMuse
Quantitative trading system with ML analysis, real-time data processing, and risk management
chaoyanghe/Awesome-Federated-Learning
An integrated federated learning library for research and production use cases.
tensorflow/recommenders
A library for building recommender system models using TensorFlow for AI-powered application development.
tensorflow/privacy
Library for training machine learning models with privacy for training data
databricks/spark-deep-learning
Deep learning library for Apache Spark that provides high-level APIs and models for building machine learning pipelines.
elyra-ai/elyra
Elyra extends JupyterLab with an AI-centric approach for developing and deploying ML/AI pipelines.
apple/ml-fastvit
Official implementation of the FastViT research paper, a fast hybrid vision transformer for AI/ML applications.
ICT-BDA/EasyML
Easy Machine Learning is a dataflow-based system for simplifying the application of machine learning algorithms.
Azure/azureml-examples
Official Azure Machine Learning examples, tested with GitHub Actions, for data science and ML projects.
patrikhuber/eos
A lightweight 3D Morphable Face Model library in modern C++ for computer vision and image processing.
python-control/python-control
A Python library for analysis and design of feedback control systems, useful for AI/ML developers.
floydhub/dl-setup
Instructions for setting up a deep learning development environment on your machine.
LastAncientOne/Stock_Analysis_For_Quant
A collection of stock analysis tools across various programming languages and platforms.
davda54/sam
SAM is a PyTorch-based library that implements Sharpness-Aware Minimization, an optimization algorithm for training more robust deep learning models.
endymecy/spark-ml-source-analysis
An open-source project that provides in-depth analysis of the source code and algorithms behind Spark's ML library.
alrojo/tensorflow-tutorial
Practical tutorials and labs for TensorFlow, covering popular neural network architectures like CNN, RNN, and more.
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