1198 Open source projects that are alternatives of or similar to Bentoml

🚀 Build and manage real-life data science projects with ease!

BentoML Example Projects 🎨

Open source platform for the machine learning lifecycle

Serving PyTorch models with TorchServe 🔥

A curated list of references for MLOps

Serving TensorFlow models with TensorFlow Serving 📙

Dataset format for AI. Build, manage, & visualize datasets for deep learning. Stream data real-time to PyTorch/TensorFlow & version-control it. https://activeloop.ai

Machine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)

Simple and Distributed Machine Learning

A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.

Test Suites for Validating ML Models & Data. Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort.

Lightweight and Fast Feature Store Powered by Go (and Rust).

Simple and Distributed Machine Learning

Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud

An Open Source, Self-Hosted Platform For Applied Deep Learning Development

😎 A curated list of awesome MLOps tools

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Implementations of the algorithms described in Differentiable plasticity: training plastic networks with gradient descent, a research paper from Uber AI Labs.

Cleora AI is a general-purpose model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data.

Grakn Knowledge Graph Library (ML R&D)

An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

Sharing Updatable Models (SUM) on Blockchain

Self-hosted IPTV/NVR/CCTV/Video service (Community version)

XAI - An eXplainability toolbox for machine learning

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

Enhance your WordPress content with Artificial Intelligence and Machine Learning services.

An app to analyze the text and fixing the anomaly of the message that deviates from what is standard, normal, or expected. #AndroidDevChallenge

AWS Lex based chatbot that calculates calories based on different fast food restaurants. This was an entry for a coding challenge on DevPost, and is actively used on Facebook Messenger. The issues list is actively managed as what defects or improvements are found by real world usage.

A tool for training models to Vertex on Google Cloud Platform.

📒 Experiment tracking tool and model registry

A lightweight command line interface for the management of arbitrary machine learning tasks

AI research environment for the Atari 2600 games 🤖.

A Collection of GitHub Actions That Facilitate MLOps

A repository demonstrating all that's new in Android 11 for ML and how you could try it out for your own use-cases

Evolutionary Algorithms Framework

Caffe2 is a lightweight, modular, and scalable deep learning framework.

Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.

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.

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.

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).

Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes

Polyaxon Core Client & CLI to streamline MLOps

Performance-optimized wheels for TensorFlow (SSE, AVX, FMA, XLA, MPI)

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

speaker diarization system using an LSTM

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。

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

Multi-class confusion matrix library in Python

Flutter-Python rubiks cube solver.

Feature Store for Machine Learning

Experiment tracking for machine and deep learning projects

The MacGraph network. An attempt to get MACnets running on graph knowledge

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

Data augmentation for NLP

CNN image classifier implemented in Keras Notebook 🖼️.

An Engine-Agnostic Deep Learning Framework in Java

Tools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)

Samples and Tools for Windows ML.

[Book-2019] Pragmatic AI: An Introduction to Cloud-based Machine Learning

Time Series Forecasting Best Practices & Examples