MALLET is a Java-based package for statistical natural language processing, document classification, clustering, topic modeling, information extraction, and other machine learning applications to t…

Scaling Sentence Embeddings with Large Language Models

Data repository for the VALSE benchmark.

[NeurIPS 2023] A faithful benchmark for vision-language compositionality

Lightweight Python framework that provides a high-level API for creating and rendering scenes with Blender.

GLM-4-Voice | 端到端中英语音对话模型

GLM-4 series: Open Multilingual Multimodal Chat LMs | 开源多语言多模态对话模型

jina-embeddings-v2-base-en is an English, monolingual embedding model supporting 8192 sequence length. It is based on a BERT architecture (JinaBERT) that supports the symmetric bidirectional varian…

The official CLIP training codebase of Inf-CL: "Breaking the Memory Barrier: Near Infinite Batch Size Scaling for Contrastive Loss". A super memory-efficiency CLIP training scheme.

Official PyTorch implementation of the paper "DisCo-CLIP: A Distributed Contrastive Loss for Memory Efficient CLIP Training".

Run Effective Large Batch Contrastive Learning Beyond GPU/TPU Memory Constraint

[ECCV 2024] official code for "Long-CLIP: Unlocking the Long-Text Capability of CLIP"

💎 数学公式识别 Math Formula OCR

Croc: Pretraining Large Multimodal Models with Cross-Modal Comprehension

This is a user guide for the MiniCPM and MiniCPM-V series of small language models (SLMs) developed by ModelBest. “面壁小钢炮” focuses on achieving exceptional performance on the edge.

A generative speech model for daily dialogue.

Codebase for Aria - an Open Multimodal Native MoE

[NeurIPS 2024] Official Implementation of CLIPAway

CLIP-MoE: Mixture of Experts for CLIP

[ECCV 2024 Oral] Code for paper: An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models

A project page template for academic papers. Demo at https://eliahuhorwitz.github.io/Academic-project-page-template/

A linear estimator on top of clip to predict the aesthetic quality of pictures

MoVQGAN - model for the image encoding and reconstruction

Next-Token Prediction is All You Need

The code used to train and run inference with the ColPali architecture.

Header-only C++/python library for fast approximate nearest neighbors