bgm
Generative model booster
Provides an implementation of boosted generative models using Python
Code for "Boosted Generative Models", AAAI 2018.
20 stars
6 watching
10 forks
Language: Python
last commit: about 7 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
| An R package providing extensions to AdaBoost and gradient boosting machine algorithms for regression and other tasks. | 52 |
| A semi-supervised learning method to improve the accuracy of machine learning models by using noisy teacher models and student models. | 755 |
| This project provides a set of tools and techniques to design and improve diffusion-based generative models. | 1,447 |
| A Python library implementing a machine learning boosting framework with probabilistic prediction capabilities | 1,663 |
| Provides an implementation of generalized additive models in Python for building flexible semi-parametric models | 876 |
| Enables training of reinforcement learning models with PyTorch on Godot Engine using shared memory | 214 |
| An implementation of a parallelized gradient boosting algorithm for regression tasks | 2 |
| A large-scale language model for scientific domain training on redpajama arXiv split | 125 |
| A Python and Fortran-based implementation of the General Estuarine Transport Model | 6 |
| An approach to modeling complex distributions by iteratively adding normalizing flow components and training with gradient boosting | 27 |
| Annotated implementations of various deep generative models using PyTorch | 498 |
| Extends generative flows and diffusion models to handle categorical data | 207 |
| An implementation of a gradient boosting algorithm with piece-wise linear regression trees for efficient machine learning model training | 151 |
| This project provides code and model for improving language understanding through generative pre-training using a transformer-based architecture. | 2,167 |
| Develops pretraining and finetuning techniques for language models using metadata-conditioned text generation | 18 |