AoeAoE (AI on Edge,终端智能,边缘计算) 是一个终端侧AI集成运行时环境 (IRE),帮助开发者提升效率。
JubatusFramework and Library for Distributed Online Machine Learning
Gocaml🐫 Practical statically typed functional programming language implementation with Go and LLVM
Hyperparameter hunterEasy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
MnnMNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
FfdlFabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes
XaiXAI - An eXplainability toolbox for machine learning
PhotonixThis is a new web-based photo management application. Run it on your home server and it will let you find the right photo from your collection on any device. Smart filtering is made possible by object recognition, location awareness, color analysis and other ML algorithms.
NeomlMachine learning framework for both deep learning and traditional algorithms
ServingA flexible, high-performance serving system for machine learning models
SparklearningLearning Apache spark,including code and data .Most part can run local.
Handson MlA series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Ai EconomistFoundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).
RumaleRumale is a machine learning library in Ruby
Guess Next🔮 Demo application showing the integration of Guess.js with Next.js
FastocloudSelf-hosted IPTV/NVR/CCTV/Video service (Community version)
N2TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets
MyvisionComputer vision based ML training data generation tool 🚀
Metaflow🚀 Build and manage real-life data science projects with ease!
FeatranA Scala feature transformation library for data science and machine learning
Machinejs[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml
KglibGrakn Knowledge Graph Library (ML R&D)
NnomA higher-level Neural Network library for microcontrollers.
Differentiable PlasticityImplementations of the algorithms described in Differentiable plasticity: training plastic networks with gradient descent, a research paper from Uber AI Labs.
MindsdbPredictive AI layer for existing databases.
Cs229 ml🍟 Stanford CS229: Machine Learning
OpenrecOpenRec is an open-source and modular library for neural network-inspired recommendation algorithms
Snips NluSnips Python library to extract meaning from text
Csinva.github.ioSlides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.
RgfHome repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one written in C++, along with various language-specific wrappers.
Php Opencv ExamplesTutorial for computer vision and machine learning in PHP 7/8 by opencv (installation + examples + documentation)
Irl ImitationImplementation of Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
ClaiCommand Line Artificial Intelligence or CLAI is an open-sourced project from IBM Research aimed to bring the power of AI to the command line interface.
CleoraCleora AI is a general-purpose model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data.
PycaretAn open-source, low-code machine learning library in Python
0xdeca10bSharing Updatable Models (SUM) on Blockchain
NimbusmlPython machine learning package providing simple interoperability between ML.NET and scikit-learn components.
PythonPython bindings for BigML.io
HubDataset format for AI. Build, manage, & visualize datasets for deep learning. Stream data real-time to PyTorch/TensorFlow & version-control it. https://activeloop.ai
PolyaxonMachine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)
HubA library for transfer learning by reusing parts of TensorFlow models.
Sk DistDistributed scikit-learn meta-estimators in PySpark
AtlasAn Open Source, Self-Hosted Platform For Applied Deep Learning Development
LudwigData-centric declarative deep learning framework
parallaxA Tool for Automatic Parallelization of Deep Learning Training in Distributed Multi-GPU Environments.
support-tickets-classificationThis case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en
EmbeddedMLEmbeddedML was created to be an alternative to the limited options available for Artificial Neural Networks in C. It is designed to be efficient without sacrificing ease of use. It is meant to support students as well as industry experts as it is built to be expandable and straightforward to manipulate.