ML Ops

Explore 799 open source projects in ML Ops

Showing 441-460 of 799 projects

TuSimple/mx-maskrcnn

An MXNet implementation of Mask R-CNN, a deep learning object detection and segmentation algorithm.

1.8K

Archived

Python

Computer Vision

API Frameworks

MXNet

#object-detection#image-segmentation#deep-learning

google-research/language

Open-sourced projects from the Google AI Language team focused on machine learning and natural language processing.

1.8K

Active

Python

LLM Frameworks

Computer Vision

Python

#machine-learning#natural-language-processing#research

Lightning-Universe/lightning-bolts

A toolbox of models, callbacks, and datasets for AI/ML researchers using PyTorch.

1.8K

Active

Python

LLM Frameworks

Computer Vision

PyTorch

#ai#machine-learning#computer-vision

404notf0und/AI-for-Security-Learning

An open-source project that explores the use of AI techniques in security-related tasks, including data analysis and algorithm development.

1.8K

Archived

ML Ops

Security Research

#security#data-analysis#machine-learning

mlcommons/training

Reference implementations of MLPerf® training benchmarks for evaluating machine learning performance.

1.7K

Stable

Python

ML Ops

API Frameworks

Python

#benchmark#machine-learning#performance-evaluation

VertaAI/modeldb

Open-source library for versioning, metadata, and experiment management of ML models.

1.7K

Archived

Java

ML Ops

MLOps Frameworks

#machine-learning#model-management#model-versioning

justmarkham/scikit-learn-tips

A collection of 50 tips and tricks for using the scikit-learn machine learning library in Python.

1.7K

Archived

Jupyter Notebook

ML Ops

Python

#machine-learning#data-science#scikit-learn

tkipf/gae

This repository provides an implementation of Graph Auto-Encoders in TensorFlow for machine learning developers.

1.7K

Archived

Python

ML Ops

Testing

TensorFlow

#graph-neural-networks#auto-encoders#machine-learning

rusty1s/pytorch_scatter

A PyTorch extension library with optimized scatter operations for efficient data processing.

1.7K

Active

Python

ML Ops

Databases

PyTorch

#pytorch#scatter#data-processing

mlco2/codecarbon

A Python library to track and report carbon emissions from computational workloads.

1.7K

Active

Python

ML Ops

CLI Tools

#carbon-emissions#sustainability#energy-efficiency

CalculatedContent/WeightWatcher

A tool for predicting the accuracy of Deep Neural Networks, focused on AI coding tools.

1.7K

Stable

Python

ML Ops

AI Code Editors

Python

#deep-learning#neural-networks#model-evaluation

linjinjin123/awesome-AIOps

A curated collection of resources for learning and implementing AIOps, covering various aspects of AI/ML in operations.

1.7K

Archived

ML Ops

Realtime

#aiops#alarm-reduction#anomaly-detection

libfann/fann

A C++ library for building fast artificial neural networks (FANN) with various training algorithms.

1.7K

Active

C++

ML Ops

#neural-network#machine-learning#training

Franck-Dernoncourt/NeuroNER

A high-performance named-entity recognition library built with state-of-the-art neural networks.

1.7K

Archived

Python

Named-Entity Recognition

API Frameworks

TensorFlow

#deep-learning#machine-learning#natural-language-processing

meta-pytorch/tnt

A lightweight PyTorch library with training tools and utilities for deep learning and machine learning developers.

1.7K

Active

Python

ML Ops

Inference

PyTorch

#deep-learning#machine-learning#neural-network

dunbar12138/pix2pix3D

A PyTorch-based library for generating 3D objects from 2D user inputs using pix2pix-style GAN models.

1.7K

Archived

Python

Computer Vision

ML Ops

PyTorch

#3d-generation#generative-adversarial-networks#computer-vision

tensorflow/addons

This is a library of useful extra functionality for TensorFlow 2.x, maintained by the TensorFlow SIG-addons community.

1.7K

Stable

Python

ML Ops

API Frameworks

TensorFlow

#machine-learning#deep-learning#neural-network

GestaltCogTeam/BasicTS

A benchmarking toolkit for fair and scalable time series forecasting, focused on long-term traffic prediction.

1.7K

Stable

Python

ML Ops

Caching

#time-series-forecasting#traffic-forecasting#benchmarking

thunlp/OpenNE

An open-source package for network embedding, a technique for learning low-dimensional representations of nodes in a network.

1.7K

Archived

Python

ML Ops

Vector Databases

Python

#network-embedding#graph-representation-learning#node-embeddings

SHI-Labs/OneFormer

A powerful universal image segmentation model that can handle various segmentation tasks with a single transformer-based model.

1.7K

Archived

Jupyter Notebook

Computer Vision

ML Ops

PyTorch

#image-segmentation#panoptic-segmentation#semantic-segmentation

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