LimiX: Unleashing Structured-Data Modeling Capability for Generalist Intelligence https://arxiv.org/abs/2509.03505

No fortress, purely open ground. OpenManus is Coming.

[NAACL 2025] KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents

the baseline for NeurIPS_Auto_Bidding_AIGB_Track

💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

[ICML 2024] Official repository for "Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models"

Multilingual Sentence & Image Embeddings with BERT

Self-Supervised Learning for Deep Clustering (TPAMI 2022)

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

Code and documentation to train Stanford's Alpaca models, and generate the data.

Code and models for the paper "One Transformer Fits All Distributions in Multi-Modal Diffusion"

PyTorch implementation of PiCO https://arxiv.org/abs/2201.08984

Making big AI models cheaper, easier, and scalable

Bayesian optimization in PyTorch

A Python implementation of global optimization with gaussian processes.

LERT: A Linguistically-motivated Pre-trained Language Model

Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.

《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）

This repository is a collection of AI top conferences papers (e.g. ACL, EMNLP, NAACL, COLING, AAAI, IJCAI, ICLR, NeurIPS, and ICML) with open resource code

Google Research

Repository for the Tetrad Project, www.phil.cmu.edu/tetrad.

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等

Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)

wordrank, context-aware term weighting for for documents and queries. 词权重计算，结合词文本特征、统计特征、语言模型特征对词权重分级。

This is a pytorch implementation for the BST model from Alibaba https://arxiv.org/pdf/1905.06874.pdf

Transformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI