• Stars
    star
    41
  • Rank 668,415 (Top 14 %)
  • Language
    Python
  • Created 5 months ago
  • Updated 2 months ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

This repository contains the code for SFT, RLHF, and DPO, designed for vision-based LLMs, including the LLaVA models and the LLaMA-3.2-vision models.

More Repositories

1

MTBook

《机器翻译:基础与模型》肖桐 朱靖波 著 - Machine Translation: Foundations and Models
TeX
2,712
star
2

ABigSurvey

A collection of 1000+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML).
1,981
star
3

Classical-Modern

非常全的文言文(古文)-现代文平行语料
Python
1,077
star
4

CNSurvey

一份中文综述文章列表(自然语言处理&机器学习)
548
star
5

NiuTensor

NiuTensor is an open-source toolkit developed by a joint team from NLP Lab. at Northeastern University and the NiuTrans Team. It provides tensor utilities to create and train neural networks.
C++
379
star
6

ABigSurveyOfLLMs

A collection of 150+ surveys on LLMs
172
star
7

NiuTrans.SMT

NiuTrans.SMT is an open-source statistical machine translation system developed by a joint team from NLP Lab. at Northeastern University and the NiuTrans Team. The NiuTrans system is fully developed in C++ language. So it runs fast and uses less memory. Currently it supports phrase-based, hierarchical phrase-based and syntax-based (string-to-tree, tree-to-string and tree-to-tree) models for research-oriented studies.
C++
144
star
8

NiuTrans.NMT

A Fast Neural Machine Translation System developed in C++.
C++
136
star
9

MT-paper-lists

MT paper lists (by conference)
123
star
10

NASPapers

Paper lists of neural architecture search (NAS)
121
star
11

LanguageCodes

We present a list of languages with their codes, families, regions and etc. We also present a list of multi-lingual corpora (with urls).
79
star
12

compiler-notes

60
star
13

Introduction-to-Transformers

An introduction to basic concepts of Transformers and key techniques of their recent advances.
46
star
14

MTVenues

A list of conferences and journals relevant to machine translation
33
star
15

Hands-on-GEMM

A tutorial on GEMM
Cuda
7
star