bagewell

IC9600

MiniCPM-V

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

Dataset-Pruning

Dataset pruning for ImageNet and LAION-2B.

Chinese-LLaMA-Alpaca

中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)

data-preparation

Code used for sourcing and cleaning the BigScience ROOTS corpus

Otter

🦦 Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruction-following and in-context learning ability.

Awesome-Multimodal-Large-Language-Models

:sparkles::sparkles:Latest Advances on Multimodal Large Language Models

LAW-GPT

中文法律对话语言模型

QRec

QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)

block_movement_pruning

Block Sparse movement pruning

nn_pruning

Prune a model while finetuning or training.

retraining-free-pruning

[NeurIPS 2022] A Fast Post-Training Pruning Framework for Transformers

uniem

unified embedding model

T2Ranking

T2Ranking: A large-scale Chinese benchmark for passage ranking.

MiniRBT

MiniRBT (中文小型预训练模型系列)

ContrastivePruning

Source code for our AAAI'22 paper 《From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression》

LLaMA-Factory

Efficiently Fine-Tune 100+ LLMs in WebUI (ACL 2024)

UIE

Unified Structure Generation for Universal Information Extraction

LAVIS

LAVIS - A One-stop Library for Language-Vision Intelligence

recognize-anything

Open-source and strong foundation image recognition models.

CLIPasso

DuoRec

Code for WSDM 2022 paper, Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation.

IOCRec

Pytorch implementation for paper: Multi-Intention Oriented Contrastive Learning for Sequential Recommendation (WSDM23)

causalml

Uplift modeling and causal inference with machine learning algorithms

uplift_model_notes

uplift模型业界应用总结

cl4ctr

The code of CL4CTR

CIKM2020_DMT

Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020

RecSystem-Pytorch

推荐系统论文算法实现，包括序列推荐，多任务学习，元学习等。 Recommendation system papers implementations, including sequence recommendation, multi-task learning, meta-learning, etc.

Co-Action-Network

Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction

CDR

This is the repository of the NeurIPS 2021 paper "Curriculum Disentangled Recommendation withNoisy Multi-feedback"