ML Ops
Explore 798 open source projects in ML Ops
Showing 701-720 of 798 projects
aws/deep-learning-containers
One-stop shop for running AI/ML on AWS with Docker, EC2, ECS, EKS, and SageMaker
majianjia/nnom
A higher-level neural network library for microcontrollers and embedded systems.
abhishek-ch/around-dataengineering
A comprehensive knowledge hub for data engineering, machine learning, and MLOps tools and practices.
NVIDIA-Merlin/NVTabular
NVTabular is a feature engineering and preprocessing library for tabular data used in recommender systems.
hendrycks/robustness
A library for studying the robustness of computer vision models to various corruptions and perturbations.
THUMNLab/AutoGL
An AutoML framework & toolkit for machine learning on graphs, using PyTorch and PyTorch Geometric.
lvgalvao/data-engineering-roadmap
Comprehensive roadmap for data engineering and AI development in Python
kexinhuang12345/DeepPurpose
A deep learning toolkit for drug discovery, drug-target interaction, and protein function prediction.
Pokee-AI/PokeeResearchOSS
Pokee Deep Research Model Open Source Repo - a Python library for AI and machine learning research and development.
easystats/performance
R package for evaluating the quality and performance of statistical models in R.
kenshohara/video-classification-3d-cnn-pytorch
Video classification tools using 3D ResNet for action recognition and computer vision tasks.
balzer82/Kalman
A Python implementation of the Kalman filter, a powerful algorithm for state estimation and tracking.
julvo/reloading
A Python utility for hot-reloading code without losing state, useful for AI/ML development.
harvardnlp/pytorch-struct
A fast, general, and tested differentiable structured prediction library for PyTorch.
ryfeus/lambda-packs
A collection of pre-compiled packages for AWS Lambda, useful for AI/ML and other serverless workloads.
dmlc/mshadow
A lightweight CPU/GPU Matrix and Tensor Template Library in C++/CUDA for machine learning.
facebookresearch/fairseq2
FAIR Sequence Modeling Toolkit 2 is a powerful PyTorch-based library for training custom language models and sequence-to-sequence models.
PrunaAI/pruna
Pruna is a model optimization framework that helps developers deliver faster, more efficient AI models with minimal overhead.
chongzhou96/EdgeSAM
Official PyTorch implementation of a prompt-based distillation method for on-device deployment of the Segment Anything Model (SAM).
offchan42/machine-learning-curriculum
A comprehensive curriculum for learning machine learning and AI development in Python.
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