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Minimal reproduction of DeepSeek R1-Zero
100+ Chinese Word Vectors 上百种预训练中文词向量
stock股票.获取股票数据,计算股票指标,筹码分布,识别股票形态,综合选股,选股策略,股票验证回测,股票自动交易,支持PC及移动设备。
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
Running large language models on a single GPU for throughput-oriented scenarios.
小红书(XiaoHongShu、RedNote)链接提取/作品采集工具:提取账号发布、收藏、点赞、专辑作品链接;提取搜索结果作品、用户链接;采集小红书作品信息;提取小红书作品下载地址;下载小红书无水印作品文件
all kinds of text classification models and more with deep learning
BoxMOT: Pluggable SOTA multi-object tracking modules modules for segmentation, object detection and pose estimation models
Chinese version of GPT2 training code, using BERT tokenizer.
Text-audio foundation model from Boson AI
总结梳理自然语言处理工程师(NLP)需要积累的各方面知识,包括面试题,各种基础知识,工程能力等等,提升核心竞争力
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
Google AI 2018 BERT pytorch implementation
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.
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
AppAgent: Multimodal Agents as Smartphone Users, an LLM-based multimodal agent framework designed to operate smartphone apps.
The RedPajama-Data repository contains code for preparing large datasets for training large language models.
Aligning pretrained language models with instruction data generated by themselves.
Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
中文语言理解测评基准 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard
Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning
🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
An unnecessarily tiny implementation of GPT-2 in NumPy.
Siamese and triplet networks with online pair/triplet mining in PyTorch