summit
Reaction tuner
An optimisation tool using machine learning to speed up chemical reaction tuning
Optimising chemical reactions using machine learning
124 stars
8 watching
26 forks
Language: Jupyter Notebook
last commit: 6 months ago
Linked from 2 awesome lists
bayesian-optimizationchemistrydrug-discoverymachine-learningnelder-meadneural-networksoptimizationself-optimizationsnobfittsemo
Related projects:
Repository | Description | Stars |
---|---|---|
| A tool for retrosynthetic planning of chemical reactions | 603 |
| A set of Babel plugins and presets to optimize React code by removing unnecessary elements and prop types. | 1,672 |
| A comprehensive framework for solving optimization problems without gradient calculations. | 575 |
| Automates hyperparameter optimization and result saving across machine learning algorithms | 706 |
| A deep learning method for optimizing convolutional neural networks by reducing computational cost while improving regularization and inference efficiency. | 18 |
| A reinforcement learning environment library for compiler optimization tasks | 917 |
| An optimizer that automatically tunes momentum and learning rate using local quadratic approximation. | 287 |
| A Python package for gradient-based function optimization in machine learning | 181 |
| A PyTorch extension for optimizing deep learning models on manifold constrained tensors | 239 |
| Enables the creation of smaller neural network models through efficient pruning and quantization techniques | 2,083 |
| Toolset for optimizing and calibrating physical systems using machine learning and quantum computing | 70 |
| Optimization code for topology optimization problems using machine learning and deep learning techniques | 107 |
| A lightweight Bayesian optimization library designed to optimize expensive-to-evaluate functions using Gaussian Process models and various acquisition functions. | 86 |
| An optimization framework for machine learning hyperparameters | 1,093 |
| Automatically searches and optimizes parameters for deep neural networks using Bayesian optimization | 96 |