ML Ops
Explore 799 open source projects in ML Ops
Showing 181-200 of 799 projects
jcjohnson/pytorch-examples
Simple examples to introduce the PyTorch machine learning library for Python developers.
blei-lab/edward
Edward is a probabilistic programming language in TensorFlow for deep generative models and variational inference.
sktime/pytorch-forecasting
A powerful PyTorch-based library for time series forecasting with support for AI and machine learning.
PacktPublishing/LLM-Engineers-Handbook
A practical guide for LLM engineers, covering fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices.
airbnb/aerosolve
A machine learning package built to make AI-powered development more accessible for developers.
pytorch/ignite
A high-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
LantaoYu/MARL-Papers
A comprehensive paper list of multi-agent reinforcement learning (MARL) research.
lixin4ever/Conference-Acceptance-Rate
This repository provides acceptance rates for major AI conferences, useful for developers tracking the AI research landscape.
datawhalechina/competition-baseline
A collection of code examples and baselines for common data science and machine learning competitions.
Nixtla/statsforecast
A fast, open-source library for time series forecasting using statistical and econometric models.
FluxML/Flux.jl
Flux is a machine learning library for the Julia programming language that provides a user-friendly and expressive interface for building neural networks.
facebookincubator/AITemplate
AITemplate is a Python framework for rendering neural networks into high-performance CUDA/HIP C++ code, optimized for GPU inference.
cjlin1/libsvm
LIBSVM is a popular open-source library for Support Vector Machines, a machine learning algorithm.
grobidOrg/grobid
ML library for extracting metadata & text from PDFs using CRF & deep learning
dotnet/machinelearning-samples
An open source machine learning framework for .NET, providing samples and tools for building AI-powered applications.
oreilly-japan/deep-learning-from-scratch
Educational textbook implementation teaching deep learning fundamentals from scratch using NumPy
waditu/czsc
A Python library for technical analysis of stocks and futures using the Chaikin volatility indicator.
makcedward/nlpaug
A data augmentation library for natural language processing (NLP) tasks, enabling developers to improve model performance.
py-why/EconML
A toolkit for automated causal inference and econometric analysis, combining machine learning and econometrics.
AllenDowney/ThinkDSP
A Python library for digital signal processing that can be useful for vibe coders working with AI tools.
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