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ML Ops

Explore 799 open source projects in ML Ops

Showing 541-560 of 799 projects

peteanderson80/bottom-up-attention

Bottom-up attention model for image captioning and visual question answering, built on Faster R-CNN and Visual Genome.

1.5K
Archived
Jupyter Notebook
Computer Vision
ML Ops
Caffe
#image-captioning#visual-question-answering#faster-rcnn

mosaicml/streaming

A Python library for efficient and scalable data streaming for neural network training on PyTorch.

1.5K
Active
Python
ML Ops
Caching
PyTorch
#data-streaming#neural-networks#deep-learning

SciSharp/NumSharp

High-performance N-dimensional tensor computation library for .NET, similar to NumPy for Python.

1.5K
Stable
C#
ML Ops
Databases
#machine-learning#numerical-computing#tensor-operations

skforecast/skforecast

A comprehensive Python library for time series forecasting using machine learning models.

1.5K
Active
Python
ML Ops
Databases
Python
#time-series#forecasting#machine-learning

geomstats/geomstats

A Python library for computations and statistics on manifolds with geometric structures, useful for AI/ML developers.

1.5K
Active
Python
ML Ops
Databases
Python
#geometry#manifold#riemannian-geometry

lxztju/pytorch_classification

A comprehensive PyTorch-based code repository for image classification, including training, prediction, TTA, model fusion, deployment, and more.

1.5K
Archived
Jupyter Notebook
Computer Vision
API Frameworks
PyTorch
#image-classification#cnn#resnet

kubeflow/examples

A repository hosting extended examples and tutorials for the Kubeflow machine learning platform.

1.5K
Experimental
Jsonnet
ML Ops
API Frameworks
Jsonnet
#kubeflow#machine-learning#examples

mit-han-lab/proxylessnas

An efficient neural architecture search (NAS) method that directly optimizes for the target task and hardware.

1.4K
Archived
C++
ML Ops
Build Tools
C++
#acceleration#automl#efficient-model

MaxHalford/prince

A Python library for performing multivariate exploratory data analysis, including techniques like PCA, CA, MCA, MFA, and FAMD.

1.4K
Active
Python
ORMs & Query Builders
Data Visualization
Python
#exploratory-data-analysis#dimensionality-reduction#principal-component-analysis

dome272/Diffusion-Models-pytorch

This project is a PyTorch implementation of diffusion models, a powerful generative AI technique.

1.4K
Archived
Python
LLM Frameworks
API Frameworks
PyTorch
#diffusion-models#generative-ai#machine-learning

idrl-lab/PINNpapers

A collection of must-read papers on Physics-Informed Neural Networks (PINNs), a powerful approach for solving differential equations.

1.4K
Archived
Python
ML Ops
Databases
Python
#physics-informed-neural-networks#pinn#differential-equations

dalinvip/cnn-lstm-bilstm-deepcnn-clstm-in-pytorch

A PyTorch repository with various neural network models like CNN, BiLSTM, GRU, and LSTM for developers working with AI tools.

1.4K
Archived
Python
LLM Frameworks
ML Ops
PyTorch
#cnn#bilstm#lstm

alxndrTL/mamba.py

A simple and efficient Mamba implementation in pure PyTorch and MLX for AI-driven development.

1.4K
Active
Python
LLM Frameworks
ML Ops
#machine-learning#deep-learning#pytorch

AIFengheshu/Plug-play-modules

A comprehensive collection of open-source AI/ML modules and models for a wide range of computer vision and NLP tasks, suitable for vibe coders.

1.4K
Experimental
Python
Computer Vision
Natural Language Processing
Python
#computer-vision#natural-language-processing#machine-learning

AshwinRJ/Federated-Learning-PyTorch

An implementation of federated learning, a distributed machine learning technique, using PyTorch.

1.4K
Archived
Python
Federated Learning
API Frameworks
PyTorch
#deep-learning#distributed-computing#federated-learning

scikit-learn-contrib/metric-learn

Provides a collection of efficient and well-tested metric learning algorithms in Python for machine learning tasks.

1.4K
Archived
Python
ML Ops
scikit-learn
#machine-learning#metric-learning#python

hollance/CoreMLHelpers

A set of Swift types and functions that make it easier to work with Core ML in iOS apps.

1.4K
Archived
Swift
ML Ops
iOS
Swift
#core-ml#machine-learning#ios

AlexEne/twiggy

Twiggy is a Rust-based code size profiler for optimizing the size of WebAssembly (WASM) applications.

1.4K
Stable
Rust
Build Tools
Backend & APIs
#profiler#size-optimization#wasm

NVIDIA/deepops

Tools for building GPU clusters for machine learning and AI workloads

1.4K
Active
Shell
ML Ops
Containerization
#gpu#cluster#kubernetes

google-research/disentanglement_lib

An open-source library for research on learning disentangled representations.

1.4K
Archived
Python
ML Ops
Libraries
Python
#disentanglement#representation-learning#machine-learning
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