ML Ops
Explore 798 open source projects in ML Ops
Showing 81-100 of 798 projects
NVIDIA/cutlass
A high-performance linear algebra library for GPU-accelerated deep learning and other applications.
dotnet/machinelearning
An open-source machine learning framework for .NET that enables developers to build AI-powered applications.
Engineer1999/A-Curated-List-of-ML-System-Design-Case-Studies
A curated collection of 300+ case studies from 80+ companies, detailing practical ML system design insights.
replicate/cog
A set of containers for running machine learning models and applications on various ML frameworks.
huseinzol05/Stock-Prediction-Models
Machine learning and deep learning models for stock forecasting, including trading bots and simulations.
Cadene/pretrained-models.pytorch
A PyTorch library with pre-trained convolutional networks for various computer vision tasks.
NVIDIA/apex
A PyTorch extension that provides tools for easy mixed precision and distributed training in PyTorch.
RedditSota/state-of-the-art-result-for-machine-learning-problems
This repository provides the latest state-of-the-art results for a wide range of machine learning problems.
catboost/catboost
A high-performance gradient boosting library for machine learning tasks on CPUs and GPUs.
modelscope/modelscope
ModelScope is an open-source AI framework that brings the notion of Model-as-a-Service to life, providing a comprehensive suite of tools for building, deploying, and managing AI models.
mage-ai/mage-ai
mage-ai is a Python-based platform for building, running, and managing data pipelines and integrating/transforming data.
delta-io/delta
An open-source data lakehouse framework that enables building data pipelines with leading big data compute engines.
vahidk/EffectiveTensorflow
Comprehensive TensorFlow tutorials and best practices for deep learning and machine learning developers.
tensorflow/tfjs-core
A WebGL-accelerated JavaScript library for machine learning and deep learning on the web.
MorvanZhou/PyTorch-Tutorial
A comprehensive PyTorch tutorial for building neural networks and AI models with ease
aladdinpersson/Machine-Learning-Collection
A comprehensive collection of machine learning and deep learning resources for developers.
facebookarchive/caffe2
Caffe2 is a lightweight, scalable deep learning framework for building and deploying AI models.
facebookresearch/DiT
Official PyTorch implementation of a scalable diffusion model with Transformers for AI-powered applications.
lawlite19/MachineLearning_Python
A Python library for implementing various machine learning algorithms.
nebuly-ai/optimate
A collection of Python libraries to optimize AI model performance, with a focus on large language models and deep learning.
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