ML Ops
Explore 799 open source projects in ML Ops
Showing 401-420 of 799 projects
fluid-cloudnative/fluid
Fluid is a distributed data abstraction and acceleration framework for Big Data and AI applications on the cloud.
Peldom/papers_for_protein_design_using_DL
A curated list of papers about using deep learning for protein design.
skfolio/skfolio
A Python library for portfolio optimization using scikit-learn and convex optimization techniques.
deepmodeling/deepmd-kit
A deep learning package for many-body potential energy representation and molecular dynamics
kwuking/TimeMixer
Official implementation of a decomposable multiscale mixing model for time series forecasting
tobegit3hub/tensorflow_template_application
A TensorFlow template application for building deep learning models and deploying them to production.
uber/petastorm
Petastorm enables training and evaluation of deep learning models from Apache Parquet datasets.
snap-stanford/GraphGym
A platform for designing and evaluating Graph Neural Networks (GNNs) using Python.
tdrussell/diffusion-pipe
A pipeline parallel training script for diffusion models, useful for AI and machine learning researchers.
google/TensorNetwork
A Python library for efficient manipulation of tensor networks, a powerful tool for AI and machine learning.
flexflow/flexflow-train
Automatically discover fast parallelization strategies for distributed deep neural network training.
MrNothing/AI-Blocks
A powerful WYSIWYG interface for creating Machine Learning models without writing code.
linkedin/greykite
A flexible, intuitive and fast forecasting library for time series data analysis and prediction.
tradytics/surpriver
A Python library for finding big moving stocks using machine learning and anomaly detection.
explosion/spacy-models
A set of pre-trained machine learning models for the spaCy NLP library.
byzer-org/byzer-lang
Byzer is a low-code open-source programming language for data pipeline, analytics and AI.
cbailes/awesome-deep-trading
A curated list of resources for machine learning-based algorithmic trading and quantitative finance.
stanfordmlgroup/ngboost
A Python library for natural gradient boosting, a powerful technique for probabilistic prediction.
Kyubyong/tacotron
A TensorFlow-based end-to-end text-to-speech synthesis model for vibe coders working on AI-powered applications.
jiesutd/LatticeLSTM
Chinese Named Entity Recognition (NER) library using Lattice LSTM model, built for AI/ML developers.
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