ML Ops
Explore 799 open source projects in ML Ops
Showing 221-240 of 799 projects
magicleap/SuperGluePretrainedNetwork
A PyTorch implementation of the SuperGlue graph neural network for feature matching and pose estimation.
princeton-vl/RAFT
RAFT is a PyTorch library for training and evaluating visual transformers, a popular AI model for computer vision tasks.
diego-vicente/som-tsp
A Python library that solves the Traveling Salesman Problem using Self-Organizing Maps.
lululxvi/deepxde
A Python library for scientific machine learning and physics-informed learning
NervanaSystems/neon
A high-performance deep learning framework for training and deploying neural networks on various hardware.
Lasagne/Lasagne
Lasagne is a lightweight library for building and training neural networks in Theano, a powerful Python library for machine learning.
floydhub/dl-docker
An all-in-one Docker image for deep learning with popular DL frameworks like TensorFlow, Theano, Torch, and Caffe.
yahoo/TensorFlowOnSpark
TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters for distributed machine learning.
shenweichen/GraphEmbedding
Implementation and experiments of various graph embedding algorithms for developers building AI-powered applications.
cornellius-gp/gpytorch
A highly efficient implementation of Gaussian Processes in PyTorch for GPU-accelerated machine learning.
open-mmlab/mmpretrain
A pre-training toolbox and benchmark for vision AI models, including self-supervised learning and state-of-the-art architectures.
hkust-nlp/simpleRL-reason
A simple reinforcement learning training library for reasoning tasks.
NVIDIA/GenerativeAIExamples
Collection of generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
johnmyleswhite/ML_for_Hackers
An open-source library implementing machine learning algorithms in R for data analysis and visualization.
google-research/multinerf
A code release for advanced neural radiance field techniques like Mip-NeRF 360, Ref-NeRF, and RawNeRF.
NVlabs/VILA
VILA is a family of state-of-the-art vision language models (VLMs) for diverse multimodal AI tasks across the edge, data center, and cloud.
HuaizhengZhang/AI-Infra-from-Zero-to-Hero
A comprehensive collection of resources and tutorials for building AI infrastructure and systems.
EliteQuant/EliteQuant
A quantitative finance framework for algorithmic trading, portfolio management, and asset pricing.
bytedance/byteps
A high-performance and generic framework for distributed deep neural network training
xtensor-stack/xtensor
A C++ library for multidimensional array operations with broadcasting and lazy computing.
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