30 open-source projects similar to microsoft/archai, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Archai alternative.
Hyper-parameter optimization for sklearn
Ray is a distributed computing framework designed to scale Python and Java applications across clusters by abstracting task scheduling and resource management. It functions as a resource-aware execution engine that manages task dependencies, placement, and fault tolerance across networked compute nodes. At its core, the system provides a stateful actor model, allowing developers to define classes that run in dedicated processes to maintain and mutate internal state across remote method calls. The framework distinguishes itself through a robust cross-language interoperability layer, enabling f
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
A PyTorch Library for Meta-learning Research
Autoresearch is an autonomous machine learning research agent and architecture search framework. It employs a closed-loop system to programmatically rewrite training and architecture source code to discover optimal language model configurations. The system iteratively modifies code and evaluates performance metrics to improve model quality based on a target objective. It optimizes model performance and training efficiency by tracking validation bits per byte, which allows for a fair comparison of architectural changes independently of vocabulary size. The framework manages the full training
AutoGluon is an automated machine learning framework and multimodal library designed to automate the end-to-end pipeline from data preprocessing to high-accuracy model training and validation. It functions as an automated model trainer for tabular, image, text, and time series data, as well as a tool for time series forecasting and foundation model finetuning. The project is distinguished by its ability to jointly process and fuse different data types, allowing for the construction of multimodal neural networks that integrate images, text, and structured tables. It supports zero-shot inferenc
Ludwig is a multimodal machine learning platform and low-code framework designed for building, training, and deploying neural networks. It enables the construction of models that process text, images, audio, and tabular data through a unified interface using declarative configuration files rather than custom code. The system features a specialized low-code framework for large language models, supporting supervised fine-tuning, preference alignment, and a constrained decoding tool to force structured data output via logit extraction. It also includes an automated model architecture search to i
ai-edu is a comprehensive AI education curriculum and machine learning courseware collection. It provides theoretical tutorials, deep learning lab exercises, and project blueprints designed to teach artificial intelligence fundamentals through a combination of study and practical implementation. The project focuses on a learning-by-doing approach, guiding users from Python programming and neural network basics to advanced topics. It includes specialized instructional content on distributed AI training, MLOps educational guides for model quantization and pruning, and detailed frameworks for im
This is a Bayesian optimization library for Python designed to find the maximum value of expensive black box functions. It operates as a global optimizer that uses probabilistic models to identify the peak value of unknown functions through iterative sampling. The tool is specifically designed for hyperparameter tuning in machine learning, where it maximizes model performance while minimizing the number of required training runs. It treats the target function as a black box, selecting optimal input parameters based on statistical priors to reduce manual trial and error. The system utilizes G
ANEE is an experimental dynamic inference wrapper for pretrained Transformer language models (currently GPT-2). Instead of always running all layers, ANEE exposes an energy_budget and performs early exit inside the model’s forward pass.
This project is a developer knowledge base and a curated library of programming code snippets. It serves as a multi-language coding reference that provides short technical articles and reusable code samples to help developers implement common programming patterns. The resource functions as a multi-language syntax reference, allowing for the comparison of logic and functionality across different programming environments. It focuses on programming pattern learning and coding skill improvement through a collection of optimized patterns and best practices. The platform includes capabilities for
All about erlang programming language powerd by community
High performance HTTP proxy originally written by your friends at Lantern and now maintained by a stellar group of volunteer open source programmers.
A curated list of awesome CircuitPython guides, videos, libraries, frameworks, software and resources.
Postman GPUI is a simple graphical user interface application for making HTTP requests, inspired by Postman. This application allows users to create, manage, and send HTTP requests and view the responses in a user-friendly manner.
Pulse is a generative model image upscaler and latent space image processor. It functions as a self-supervised photo upsampling tool that increases image resolution by exploring the latent space of pre-trained generative models to synthesize high-quality details. The system includes a face image alignment tool designed to standardize the scale and orientation of raw facial photos. This preprocessing utility prepares images for higher resolution processing by aligning and downscaling faces to a standard orientation. The project covers AI image super-resolution and generative photo upscaling,
Claude and Openclaw AI skill for hotel search & booking via MoodTrip.ai MCP server
The autonomous, self-improving AI agent. Single Rust binary. Every channel.
Track and manage build artifacts from multiple programming languages.
This project is a curated directory of command line applications and utilities designed to enhance developer productivity and streamline technical workflows. It serves as a comprehensive index of open-source software, categorizing tools that assist with system administration, development automation, and personal task management. The repository distinguishes itself by providing a structured collection of terminal-based software that spans diverse functional domains. It includes resources for managing infrastructure and cloud resources, performing code maintenance, and customizing terminal envi
Magic MCP is a Model Context Protocol server and AI component generator that translates natural language descriptions into functional user interface code. It acts as an LLM design orchestrator, producing responsive web elements and layouts anchored on utility-first CSS styling patterns. The system features a side-by-side variation engine that generates multiple stylistic interpretations of a single prompt for comparative selection. It incorporates SVG-based asset integration for branding and iconography and utilizes template-based assembly to combine pre-defined style patterns with user-speci