model_search
Architectural finder
An automated framework for discovering optimal neural network architectures for machine learning tasks.
3k stars
93 watching
459 forks
Language: Python
last commit: 7 months ago
Linked from 3 awesome lists
Related projects:
Repository | Description | Stars |
---|---|---|
| Automates machine learning model creation and optimization for complex datasets | 1,857 |
| Enables the creation of smaller neural network models through efficient pruning and quantization techniques | 2,083 |
| A Python-based framework for automating the process of finding and training the best-performing machine learning model for regression and classification tasks on numerical data. | 176 |
| A modular framework for automatically searching over computational graphs to find good architectures for machine learning models | 121 |
| Automatically builds multiple machine learning models using a single line of code. | 526 |
| Automated machine learning with tree search optimization | 16 |
| Provides pre-trained deep learning models for the Jax/Flax ecosystem. | 240 |
| A platform that enables scalable and transparent exploration of simulation models using high-throughput computing | 144 |
| A curated list of large machine learning models tracked over time | 341 |
| Automates the search for optimal neural network configurations in deep learning applications | 468 |
| A framework for configuring and running machine learning experiments on top of Jax. | 461 |
| An automatic deep learning framework that jointly optimizes network architecture and training hyperparameters. | 2,385 |
| An exploratory tool for analyzing and understanding machine learning models | 14 |
| Automates model building and deployment process by optimizing hyperparameters and compressing models for edge computing. | 200 |
| An automated machine learning framework that simplifies the development of end-to-end AutoML toolkits in specific domains. | 267 |