Meteor
by ByungKwanLee
[NeurIPS 2024] Official PyTorch implementation code for realizing the technical part of Mamba-based traversal of rationale (Meteor) to improve performance of numerous vision language performances for diverse capabilities.
AI summary
Model optimization library
An implementation of Mamba-based traversal of rationale to improve performance of numerous vision language models.
- stars
- 102
- forks
- 4
- watching
- 1
Similar projects
Found by comparing what the projects do, not just their names.
Optimization algorithm
An implementation of an optimization algorithm inspired by a 2016 research paper
Vision Language Integrator
Improves performance of vision language tasks by integrating computer vision capabilities into large language models
Vision Language Model
Develops a PyTorch implementation of an enhanced vision language model
Optimization library
An efficient library for differentiable optimization built on top of PyTorch.
Reinforcement Learning framework
Replication of Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks in PyTorch for reinforcement learning tasks
Memory optimizer for deep learning models
A lightweight wrapper around PyTorch to prevent CUDA out-of-memory errors and optimize model execution
Meta-learning framework
An implementation of Model-Agnostic Meta-Learning (MAML) using PyTorch
ML automator
Automates machine learning model training using pre-set configurations and modular design.
Computer Vision Toolkit
A PyTorch toolbox for supporting research and development of domain adaptation, generalization, and semi-supervised learning methods in computer vision.
Vision-Language Model
A PyTorch implementation of an encoder-free vision-language model that can be fine-tuned for various tasks and modalities
Deep learning toolkit
A Python framework for building deep learning models with optimized encoding layers and batch normalization.
Box model simulator
Automatically generates and solves equations describing atmospheric chemical evolution using Python with Numba.
Optimization toolkit
A toolkit for using dynamic programming in optimization tasks with adaptive modeling.
NLP Explanation Library
This is an open source PyTorch library providing tools and models to explain the predictions of deep neural networks for natural language processing tasks.
Optimization layer
A PyTorch module that adds differentiable optimization as a layer to neural networks
