alan
by alantech
Autoscalable Programming Language
AI summary
GPU programming language
A programming language designed to make GPU computation more accessible with a focus on predictable runtime and native performance.
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Similar projects
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alanvf/star130
Programming language
An experimental programming language designed to be powerful, productive, and predictable with features like type specialization and rich standard libraries.
Automation library
A cross-platform GUI automation module for Python and Rust.
GUI automation tool
Automates GUI interactions across multiple platforms using a Rust-based API
Autoscaler
An autoscaling framework for dynamically managing Apache web servers on Mesos clusters using HAProxy for load balancing.
AutoML framework
A framework for creating machine learning models with minimal code and customization options
Model optimizer
Automatically simplifies and optimizes 3D models for efficient rendering on various hardware configurations
AutoDL algorithm
Automated deep learning algorithm that performs feature engineering, model selection, and hyperparameter tuning without human intervention.
autoviml/autoviz1.7K
Data visualization tool
Automatically generates insightful visualizations from datasets of any size with minimal code
AutoML pipeline generator
An automated machine learning framework that generates optimal machine learning pipelines for various real-world problems.
Auto Scaling tools
Tools and documentation for using Auto Scaling to manage scalable cloud resources
Autoencoder library
An implementation of Adversarially Regularized Autoencoders for language generation and discrete structure modeling.
Grader
A course management system with autograding capabilities for programming assignments
State machine library
A framework for building reactive state machines on microcontrollers like Arduino
Cluster autoscaler
An autoscaler designed to scale Kubernetes clusters efficiently for large batch workloads.
Model optimizer
Automates model building and deployment process by optimizing hyperparameters and compressing models for edge computing.
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