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A sandboxed execution environment for AI agents via WASM
Get your documents ready for gen AI
A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.
[CVPR'25 Oral] MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision
A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).
Dynamic 3D Foundation Model using Causal Transformer. [ICLR 2026]
🌟A curated list of DUSt3R-related papers and resources, tracking recent advancements using this geometric foundation model.
[ICLR 2026] π^3: Permutation-Equivariant Visual Geometry Learning
A Collection of LiDAR-Camera-Calibration Papers, Toolboxes and Notes
A curated list of awesome HD map construction methods
A very fast static spatial index for 2D points and rectangles in JavaScript 🌱
Fully transparent SSH, HTTPS, Kubernetes, MySQL and Postgres bastion/PAM that doesn't need additional client-side software
Affordable, Multifunctional, Nano RISC-V IP-KVM
An open source approach to locally record and enable searching everything you view on your Mac.
SSH3: faster and rich secure shell using HTTP/3, checkout our article here: https://arxiv.org/abs/2312.08396 and our Internet-Draft: https://datatracker.ietf.org/doc/draft-michel-ssh3/
High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale
Turn (almost) any Python command line program into a full GUI application with one line
Distributed SQL Query Engine in Python using Ray
Ray - A curated list of resources: https://github.com/ray-project/ray
A framework to enable multimodal models to operate a computer.
The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.
Out-of-distribution detection, robustness, and generalization resources. The repository contains a curated list of papers, tutorials, books, videos, articles and open-source libraries etc
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
What would you do with 1000 H100s...
The roadmap of generative AI: use cases and applications | 生成式AI的应用路线图