This is a list of awesome paper about optical flow and related work.

A curated list of Video to Audio Generation

The official GitHub page for the survey paper "Foundation Models for Music: A Survey".

Vocal Remover using Deep Neural Networks

This is the code repo for MM'24 paper CIRP: Cross-Item Relational Pre-training for Multimodal Product Bundling

The repository of paper Personalized Multimodal Response Generation with Large Language Models

[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Automatically Update NLP Papers Daily using Github Actions (ref: https://github.com/Vincentqyw/cv-arxiv-daily)

🎓Automatically Update Recommendation Papers Daily using Github Actions (Update Every 12th hours)

The implementation of paper "Language Representations Can be What Recommenders Need: Findings and Potentials"

Code and Data for "MIRAI: Evaluating LLM Agents for Event Forecasting"

The implementation of paper "Hello Again! LLM-powered Personalized Agent for Long-term Dialogue".

[NeurIPS 2024] The implementation of paper "On Softmax Direct Preference Optimization for Recommendation"

[ACL 2024] ReactXT: Understanding Molecular “Reaction-ship” via Reaction-Contextualized Molecule-Text Pretraining. by Zhiyuan Liu*, Yaorui Shi*, An Zhang, Sihang Li, Enzhi Zhang, Xiang Wang, Kenji …

Diffusion Models for Generative Outfit Recommendation

Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…

MiniCPM-V 2.6: A GPT-4V Level MLLM for Single Image, Multi Image and Video on Your Phone

Code for 'LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders'

Data-efficient Fine-tuning for LLM-based Recommendation (SIGIR'24)

🚀 Awesome LLM Agent: Discover LLM-Empowered Agents & Their Exciting Applications

Code and Data for KDD 2023 paper "Context-aware Event Forecasting via Graph Disentanglement"

An open-source framework for conducting data poisoning attacks on recommendation systems, designed to assist researchers and practitioners.

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

Curated list of awesome GPTs 👍.