Popular GitHub Repositories for Arc Prize 2025

CVPR 2025 论文和开源项目合集

[ICLR 2025] Agent S: an open agentic framework that uses computers like a human

Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, DeepSeek, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discrete GPU such as Arc, Flex and Max); seamlessly integrate with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, vLLM, DeepSpeed, Axolotl, etc.

A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2025 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

[ICLR2025 Spotlight] SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models

D-FINE: Redefine Regression Task of DETRs as Fine-grained Distribution Refinement [ICLR 2025 Spotlight]

ICCV 2025 论文和开源项目合集

[CVPR 2025] MASt3R-SLAM: Real-Time Dense SLAM with 3D Reconstruction Priors

[ICLR 2025] From anything to mesh like human artists. Official impl. of "MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers"

2025 AI/ML internship & new graduate job list updated daily

[CVPR 2025] Taming Multimodal Joint Training for High-Quality Video-to-Audio Synthesis

[CVPR 2025] Official PyTorch Implementation of MambaVision: A Hybrid Mamba-Transformer Vision Backbone

[ICLR 2025] Repository for Show-o, One Single Transformer to Unify Multimodal Understanding and Generation.

[ICLR 2025] LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs

No need to switch browsers, just use Dia on Chrome or on Arc.

[CVPR 2025] Video Depth Anything: Consistent Depth Estimation for Super-Long Videos

[CVPR 2025] Open-source, End-to-end, Vision-Language-Action model for GUI Agent & Computer Use.

A Collection of Papers and Codes for CVPR2025/CVPR2024/CVPR2021/CVPR2020 Low Level Vision

[CVPR 2025] DEIM: DETR with Improved Matching for Fast Convergence

2025年AI开发实战项目：打造AI恋爱大师和自主规划智能体YuManus！本教程基于Spring Boot 3、Java 21和Spring AI，带你从零构建这两个应用。你将学习AI大模型接入、Spring AI核心特性、Prompt工程与优化、RAG检索增强、向量数据库、Tool Calling工具调用、MCP模型上下文协议、AI Agent开发以及Cursor AI工具等核心技术。掌握这些技能，你将成为AI时代炙手可热的程序员，让你的简历脱颖而出，在求职竞争中占据优势！