High-Resolution 3D Assets Generation with Large Scale Hunyuan3D Diffusion Models.

[COLING 2025] Idea23D: Collaborative LMM Agents Enable 3D Model Generation from Interleaved Multimodal Inputs

Tencent Hunyuan3D-1.0: A Unified Framework for Text-to-3D and Image-to-3D Generation

Trusted Mamba Contrastive Network for Multi-View Clustering

Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting yo…

🌞 CareGPT (关怀GPT)是一个医疗大语言模型，同时它集合了数十个公开可用的医疗微调数据集和开放可用的医疗大语言模型，包含LLM的训练、测评、部署等以促进医疗LLM快速发展。Medical LLM, Open Source Driven for a Healthy Future.

QAQ: Quality Adaptive Quantization for LLM KV Cache

[NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

[ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retention

Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷

An Open-source Toolkit for LLM Development

UI tool for fine-tuning and testing your own LoRA models base on LLaMA, GPT-J and more. One-click run on Google Colab. + A Gradio ChatGPT-like Chat UI to demonstrate your language models.

总结Prompt&LLM论文，开源数据&模型，AIGC应用

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

[ACL 2024] A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future

Large Language Models Are Reasoning Teachers (ACL 2023)

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

modified version for TextAttack library

Adaptive Confidence Multi-View Hashing

Emotion Classification: Comparing Bert and LSTM

BERT distillation（基于BERT的蒸馏实验 ）

中英文敏感词、语言检测、中外手机/电话归属地/运营商查询、名字推断性别、手机号抽取、身份证抽取、邮箱抽取、中日文人名库、中文缩写库、拆字词典、词汇情感值、停用词、反动词表、暴恐词表、繁简体转换、英文模拟中文发音、汪峰歌词生成器、职业名称词库、同义词库、反义词库、否定词库、汽车品牌词库、汽车零件词库、连续英文切割、各种中文词向量、公司名字大全、古诗词库、IT词库、财经词库、成语词库、地名词库、…

easy-bert是一个中文NLP工具，提供诸多bert变体调用和调参方法，极速上手；清晰的设计和代码注释，也很适合学习

Implementation of Adversarial Training for BERT and BERT-Like Models and Analysis of effects of model compression on Robustness of a model

Code for ACL 2023 paper titled "Lifting the Curse of Capacity Gap in Distilling Language Models"

Must-read papers on improving efficiency for pre-trained language models.

Official PyTorch Code for "Is Synthetic Data From Diffusion Models Ready for Knowledge Distillation?" (https://arxiv.org/abs/2305.12954)

多任务知识蒸馏，模型太大了没有上传，可自行下载放在相关目录下