guacamol
Chemistry generator benchmarker
A Python package for benchmarking generative models in molecular design
Benchmarks for generative chemistry
420 stars
15 watching
84 forks
Language: Python
last commit: about 1 year ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
| Provides standardized benchmarks for evaluating the quality of generative models for crystal structures. | 34 |
| A reinforcement learning environment library for compiler optimization tasks | 917 |
| A Python library implementing a genetic algorithm for optimizing machine learning algorithms and neural networks. | 1,905 |
| A Python library providing an easy-to-use implementation of energy-based machine learning algorithms. | 65 |
| An AI-powered tool to generate Python applications based on user input | 182 |
| A Python library for natural language processing with adversarial learning capabilities | 23 |
| A Pythonic interface to Google's GMail | 1,776 |
| A Jupyter Notebook-based framework for training and applying generative AI models to single-cell multi-omics data | 1,064 |
| An implementation of an optimum-path forest classifier using Python | 34 |
| An eXplainability toolbox for machine learning that enables data analysis and model evaluation to mitigate biases and improve performance | 1,135 |
| A benchmark for evaluating reinforcement learning agent performance on procedurally generated game-like environments. | 1,030 |
| Automates and optimizes machine learning experiments to capture run results and improve models | 872 |
| Generates reviews and discovers sentiment using a language model | 1,512 |
| Compiles bias evaluation datasets and provides access to original data sources for large language models | 115 |
| An integrated framework for training custom generative AI models | 246 |