bgm
by ermongroup
Code for "Boosted Generative Models", AAAI 2018.
AI summary
Generative model booster
Provides an implementation of boosted generative models using Python
- stars
- 20
- forks
- 10
- watching
- 6
- awesome list
- 1
Similar projects
Found by comparing what the projects do, not just their names.
Regression booster
An R package providing extensions to AdaBoost and gradient boosting machine algorithms for regression and other tasks.
Learning booster
A semi-supervised learning method to improve the accuracy of machine learning models by using noisy teacher models and student models.
nvlabs/edm1.4K
Generative model framework
This project provides a set of tools and techniques to design and improve diffusion-based generative models.
Boosting library
A Python library implementing a machine learning boosting framework with probabilistic prediction capabilities
dswah/pygam876
GAMs
Provides an implementation of generalized additive models in Python for building flexible semi-parametric models
Reinforcement Learning Environment
Enables training of reinforcement learning models with PyTorch on Godot Engine using shared memory
Parallel booster
An implementation of a parallelized gradient boosting algorithm for regression tasks
Science LLM
A large-scale language model for scientific domain training on redpajama arXiv split
Estuary model
A Python and Fortran-based implementation of the General Estuarine Transport Model
Distribution modeler
An approach to modeling complex distributions by iteratively adding normalizing flow components and training with gradient boosting
Generative models
Annotated implementations of various deep generative models using PyTorch
Categorical model extension
Extends generative flows and diffusion models to handle categorical data
Gradient Boosting Library
An implementation of a gradient boosting algorithm with piece-wise linear regression trees for efficient machine learning model training
Language model trainer
This project provides code and model for improving language understanding through generative pre-training using a transformer-based architecture.
Text generator
Develops pretraining and finetuning techniques for language models using metadata-conditioned text generation
Featured in 1 awesome list
Each link jumps to the spot where the list mentions bgm.