Stars
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
This is a collection of our NAS and Vision Transformer work.
Efficient vision foundation models for high-resolution generation and perception.
Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3, Qwen3-MoE, DeepSeek-R1, GLM4.5, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM4.5v, Llava, …
SGLang is a fast serving framework for large language models and vision language models.
🚀🚀 「大模型」2小时完全从0训练26M的小参数GPT!🌏 Train a 26M-parameter GPT from scratch in just 2h!
[ICLR 2024 poster] Efficient Modulation for Vision Networks
Learning Language-guided Adaptive Hyper-modality Representation for Multimodal Sentiment Analysis (ALMT)
AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents
Benchmarks of approximate nearest neighbor libraries in Python
A high-throughput and memory-efficient inference and serving engine for LLMs
fastllm是后端无依赖的高性能大模型推理库。同时支持张量并行推理稠密模型和混合模式推理MOE模型,任意10G以上显卡即可推理满血DeepSeek。双路9004/9005服务器+单显卡部署DeepSeek满血满精度原版模型,单并发20tps;INT4量化模型单并发30tps,多并发可达60+。
Boosting your Web Services of Deep Learning Applications.
自然语言处理(NLP)教程,包括:词向量,词法分析,预训练语言模型,文本分类,文本语义匹配,信息抽取,翻译,对话。
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、…
Natural Language Processing for the next decade. Tokenization, Part-of-Speech Tagging, Named Entity Recognition, Syntactic & Semantic Dependency Parsing, Document Classification
Publication-ready NN-architecture schematics.
📝A simple and elegant markdown editor, available for Linux, macOS and Windows.
qinglu-github / Aspect-Based-Sentiment-Analysis
Forked from 1429904852/Aspect-Based-Sentiment-AnalysisA paper list for aspect based sentiment analysis and emotion-cause pair extraction.
Reading list for Awesome Sentiment Analysis papers
A simple implementation of Huffman Codes in C++
Basic Machine Learning and Deep Learning