ML Ops
Explore 799 open source projects in ML Ops
Showing 501-520 of 799 projects
keras-team/keras-contrib
A community-driven repository for Keras, a popular deep learning library for Python.
dennybritz/chatbot-retrieval
This repository provides a dual LSTM encoder model for generating dialog responses using machine learning.
thunlp/TAADpapers
A collection of must-read papers on adversarial attacks and defenses for natural language processing.
samim23/polymath
Converts any music library into a sample-library using machine learning techniques.
cvg/nice-slam
NICE-SLAM is a neural implicit approach for scalable 3D reconstruction and localization.
Kotlin/kotlindl
A high-level deep learning framework written in Kotlin and inspired by Keras.
google/uncertainty-baselines
High-quality implementations of standard and state-of-the-art methods for Bayesian and probabilistic machine learning.
BloodAxe/pytorch-toolbelt
PyTorch extensions for fast R&D prototyping and Kaggle competition tools
jundongl/scikit-feature
An open-source feature selection repository in Python for machine learning tasks.
tensorflow/model-optimization
A toolkit to optimize machine learning models for deployment, including quantization and pruning.
spotify/voyager
An approximate nearest-neighbor search library for Python and Java with a focus on ease of use and simplicity.
vturrisi/solo-learn
A library of self-supervised methods for visual representation learning powered by PyTorch Lightning.
instacart/lore
Lore makes machine learning approachable for software engineers and maintainable for ML researchers.
miracleyoo/pytorch-lightning-template
A PyTorch Lightning template that makes it easy to adapt your existing PyTorch code to use the Lightning framework.
hi-primus/optimus
Agile data preparation workflows made easy with popular Python data science libraries.
GoogleCloudPlatform/cloudml-samples
A collection of sample code for Google Cloud's Machine Learning Engine, now migrated to the Vertex AI samples repo.
pytorch/FBGEMM
A high-performance GEMM library for deep learning inference on CPUs, developed by Facebook.
combust/mleap
MLeap is a library for deploying machine learning pipelines to production using Scala, Python, and Spark.
alibaba/Pai-Megatron-Patch
Official repo for Pai-Megatron-Patch, a large language model and visual language model training framework developed by Alibaba Cloud.
google-ai-edge/LiteRT
LiteRT is Google's on-device framework for high-performance ML & GenAI deployment on edge platforms.
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