Top 305 ml open source projects

Aoe
AoE (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。
Jubatus
Framework and Library for Distributed Online Machine Learning
Gocaml
🐫 Practical statically typed functional programming language implementation with Go and LLVM
Mnn
MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
Ffdl
Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes
Xai
XAI - An eXplainability toolbox for machine learning
Photonix
This 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.
Neoml
Machine learning framework for both deep learning and traditional algorithms
Serving
A flexible, high-performance serving system for machine learning models
Sparklearning
Learning Apache spark,including code and data .Most part can run local.
Handson Ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Ai Economist
Foundation 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).
Rumale
Rumale is a machine learning library in Ruby
Guess Next
🔮 Demo application showing the integration of Guess.js with Next.js
Tryenlight.github.io
💻 Learn to code by building projects (old site!)
Fastocloud
Self-hosted IPTV/NVR/CCTV/Video service (Community version)
N2
TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets
Featran
A 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
Nnom
A higher-level Neural Network library for microcontrollers.
Differentiable Plasticity
Implementations of the algorithms described in Differentiable plasticity: training plastic networks with gradient descent, a research paper from Uber AI Labs.
Cs229 ml
🍟 Stanford CS229: Machine Learning
Openrec
OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms
Rgf
Home 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 Examples
Tutorial for computer vision and machine learning in PHP 7/8 by opencv (installation + examples + documentation)
Irl Imitation
Implementation of Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
Clai
Command 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.
Cleora
Cleora AI is a general-purpose model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data.
Machinelearning Samples
Samples for ML.NET, an open source and cross-platform machine learning framework for .NET.
Rb Libsvm
Ruby language bindings for LIBSVM
Nimbusml
Python machine learning package providing simple interoperability between ML.NET and scikit-learn components.
Awesome Mlops
😎 A curated list of awesome MLOps tools
Python
Python bindings for BigML.io
Hub
Dataset format for AI. Build, manage, & visualize datasets for deep learning. Stream data real-time to PyTorch/TensorFlow & version-control it. https://activeloop.ai
Hub
A library for transfer learning by reusing parts of TensorFlow models.
Sk Dist
Distributed scikit-learn meta-estimators in PySpark
Atlas
An Open Source, Self-Hosted Platform For Applied Deep Learning Development
parallax
A Tool for Automatic Parallelization of Deep Learning Training in Distributed Multi-GPU Environments.
support-tickets-classification
This 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
EmbeddedML
EmbeddedML 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.
DMIA ProductionML 2021 Spring
Репозиторий направления Production ML, весна 2021
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