Modeling, training, eval, and inference code for OLMo

Train, tune, and infer Bamba model

Mamba for Multivariate Time Series Forecasting

Foundation Models for Time Series

ArXiv Today: Get arXiv daily papers right in your Lark (飞书) via bot.

Flash-Muon: An Efficient Implementation of Muon Optimizer

《AI Agent 实战营》配套示例代码

Kronos: A Foundation Model for the Language of Financial Markets

Hierarchical Reasoning Model Official Release

Obsidian MCP (Model Context Protocol) Server

Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Tra…

This API provides programmatic access to the AlphaGenome model developed by Google DeepMind.

学术类微信公众号转RSS服务

Time-Series-Optimized Transformer for Observability

TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning

Resources about xLSTM by Sepp Hochreiter

Official repository of the xLSTM.

Qwen3 is the large language model series developed by Qwen team, Alibaba Cloud.

样式美观&开源&在线的题目练习平台/刷题小网站，基于html，支持AI解析、自定义题库

新项目，基于 Next.js + Spring Boot + Redis + MySQL + Elasticsearch 的面试刷题平台，运用 Druid + HotKey + Sa-Token + Sentinel 提高了系统的性能和安全性。管理员可以创建题库、题目和题解；用户可以注册登录、分词检索题目、在线刷题并查看刷题记录日历图。 此外，系统使用数据库连接池、热 Key 探测、缓存、高…

为IT求职者开发的一款在线刷题平台。管理员可以创建题库、题目和题解；用户可以注册登录、分词检索题目、在线刷题并查看刷题记录日历图。 使用HotKey自动缓存热门题目； 通过Sentinel进行网站流量控制和熔断； 使用Nacos完成动态 IP 黑白名单过滤； 使用Sa-Token进行同端登录冲突检测； 基于Redis完成分级题目反爬虫策略

coding-guide是一个集面试刷题（主要开发这个⭐）、在线考试为一体的网站，采用当今十分流行的前后端分离架构开发的项目，拥有一整套完整的前台（移动端）和后台管理系统（PC端），项目的后端采用的是SpringBoot、前端采用的是Vue2。

一个ToC项目，主要是一个学习网站，可以进行刷题模拟面试等操作。后续会慢慢开发模块进行整合

[Support 0.49.x]（Reset Cursor AI MachineID & Bypass Higher Token Limit） Cursor Ai ，自动重置机器ID ， 免费升级使用Pro功能: You've reached your trial request limit. / Too many free trial accounts used on this machi…

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

A fast, clean, responsive Hugo theme.

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

Project Page For "Seg-Zero: Reasoning-Chain Guided Segmentation via Cognitive Reinforcement"

The calflops is designed to calculate FLOPs、MACs and Parameters in all various neural networks, such as Linear、 CNN、 RNN、 GCN、Transformer(Bert、LlaMA etc Large Language Model)