ML Ops
Explore 798 open source projects in ML Ops
Showing 781-798 of 798 projects
dataprofessor/code
Compilation of R and Python programming codes for data science and machine learning projects.
google/jaxopt
JAX-based, hardware accelerated, batchable and differentiable optimizers for machine learning.
keras-team/keras-preprocessing
Utilities for working with image data, text data, and sequence data for AI/ML projects.
tensorflow/similarity
A Python package that makes similarity learning quick and easy using TensorFlow.
Akramz/Hands-on-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow
Comprehensive set of notes and exercise solutions for learning Scikit-Learn, Keras, and TensorFlow for machine learning and deep learning.
yangxy/PASD
A PyTorch-based library for high-quality image super-resolution and personalized stylization using Stable Diffusion models.
brain-research/self-attention-gan
Self-Attention GAN, a Python library for generative adversarial networks using self-attention mechanisms.
Candy-CY/Hyperspectral-Image-Classification-Models
A library for building AI-powered hyperspectral image classification models.
CodingTrain/Machine-Learning
A collection of machine learning examples and experiments for upcoming Coding Train videos.
natowi/3D-Reconstruction-with-Deep-Learning-Methods
A repository of projects focused on 3D reconstruction using deep learning methods.
bigscience-workshop/bigscience
Central repository for the engineering and scaling working group of the BigScience AI research project.
tensorflow/neural-structured-learning
A library for training neural models with structured signals, useful for AI and machine learning developers.
kevinzakka/spatial-transformer-network
A Python library that implements Spatial Transformer Networks, a type of deep learning model that can learn spatial transformations.
microsoft/nnfusion
A flexible and efficient DNN compiler that generates high-performance executable from DNN models.
LeeSureman/Flat-Lattice-Transformer
A Python library for Chinese named entity recognition using a Flat-Lattice Transformer model.
facebookresearch/barlowtwins
PyTorch implementation of Barlow Twins, a self-supervised learning technique for computer vision tasks.
taehoonlee/tensornets
High-level network definitions with pre-trained weights in TensorFlow for deep learning and computer vision tasks.
sematic-ai/sematic
An open-source platform for building and deploying ML pipelines with a focus on MLOps
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