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[CVPR'26 Highlight] Cupid: A 3D generator that links 2D image with camera
Code for the 2025 ACL publication "Fine-Tuning on Diverse Reasoning Chains Drives Within-Inference CoT Refinement in LLMs"
[SIGGRAPH'24] 2D Gaussian Splatting for Geometrically Accurate Radiance Fields
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
This Repository includes recent papers (RecSys, SIGIR, WWW, etc.) related to the Recommender Systems
awesome papers in LLM interpretability
Scientific Large Language Models: A Survey on Biological & Chemical Domains
Official implementation of ECCV24 paper "SceneVerse: Scaling 3D Vision-Language Learning for Grounded Scene Understanding"
Official code release of "CLIP goes 3D: Leveraging Prompt Tuning for Language Grounded 3D Recognition"
A curated list of papers and resources based on "Large Language Models on Graphs: A Comprehensive Survey" (TKDE)
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
Retrieval and Retrieval-augmented LLMs
Official inference library for Mistral models
OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
【浅梦学习笔记】文章汇总:包含 排序&CXR预估,召回匹配,用户画像&特征工程,推荐搜索综合 计算广告,大数据,图算法,NLP&CV,求职面试 等内容
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、…
Train transformer language models with reinforcement learning.
Curated list of weekly published LLM papers
A curated list to learn about distributed systems
Ongoing research training transformer models at scale
【LLMs九层妖塔】分享 LLMs在自然语言处理(ChatGLM、Chinese-LLaMA-Alpaca、小羊驼 Vicuna、LLaMA、GPT4ALL等)、信息检索(langchain)、语言合成、语言识别、多模态等领域(Stable Diffusion、MiniGPT-4、VisualGLM-6B、Ziya-Visual等)等 实战与经验。
A list of databases, datasets and books/handbooks where you can find materials properties for machine learning applications.
本项目旨在分享大模型相关技术原理以及实战经验(大模型工程化、大模型应用落地)