A modern, easy and customizable app manager for Android with Material Design

A camera app to test .mlmodel files.

Python library & examples for Masked Language Model Scoring (ACL 2020)

up-to-date curated list of state-of-the-art Large vision language models hallucinations research work, papers & resources

a familiar desktop experience for lemmy

《多模态大模型：新一代人工智能技术范式》配套教学资源

Curated list to learn the math basics for machine learning

ALBERT model Pretraining and Fine Tuning using TF2.0

No description available

An implementation of masked language modeling for Pytorch, made as concise and simple as possible

快速集成顶部菜单 - OC版本年久失修，Swift请选择EasyKits下的EasySegmentedView和EasyPagingContainerView

MLMOptionSelectView -PopMenu - 弹出-选择-展示框

Calculate perplexity on a text with pre-trained language models. Support MLM (eg. DeBERTa), recurrent LM (eg. GPT3), and encoder-decoder LM (eg. Flan-T5).

Multilingual Large Language Models Evaluation Benchmark

Machine Learning Meets Python : A tutorial of NumPy / SciPy for machine learners who want to implement their own algotithms in Python (written in Japanese)

Repo for training MLMs, CLMs, or T5-type models on the OLM pretraining data, but it should work with any hugging face text dataset.

progress，刻度，WaveWater

MLM solution built with Laravel

GSPro Connector for the MLM2PRO Launch Monitor

Example templates for the delivery of custom ML solutions to production so you can get started quickly without having to make too many design choices.

HerBERT is a BERT-based Language Model trained on Polish Corpora using only MLM objective with dynamic masking of whole words.

No description available

Official implementation of our paper "Finetuned Multimodal Language Models are High-Quality Image-Text Data Filters".

Machine Learning Evaluation Metrics

Malayalam Morphological Analyzer using Finite State Transducer

[ECCV 2024] M3DBench introduces a comprehensive 3D instruction-following dataset with support for interleaved multi-modal prompts.

STAC Machine Learning Model (MLM) Extension to describe ML models, their training details, and inference runtime requirements.

ACL 2019 paper:Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification

Library for working with MLM matrices.

Dataset and code of our EMNLP 2019 paper "Multilingual and Multi-Aspect Hate Speech Analysis"