Autoregressive Model Beats Diffusion: 🦙 Llama for Scalable Image Generation
- auto-regressive-model
- diffusion
- diffusion-models
- image-generation
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Autoregressive Model Beats Diffusion: 🦙 Llama for Scalable Image Generation
This dataset code generates mathematical question and answer pairs, from a range of question types at roughly school-level difficulty.
Minimal reproduction of OneRec
A taxonomy for open source cryptocurrency, blockchain, and decentralized ecosystems
An end-to-end growth tool that understands the product, fetch the data it needs, researches the market, executes campaigns, and reviews results to improve the next round of growth. 从代码到市场的开源端到端增长工具。理解产品、接入信息渠道、研究市场、执行增长行动,并基于真实数据自我改进。
A complete set of volatility estimators based on Euan Sinclair's Volatility Trading
Using python and scikit-learn to make stock predictions
Pika H3 Flex: video and audio generation inference
README design skill for Claude Code & Codex. 帮你把 GitHub README 做得好看又好懂。
Offensive Web Testing Framework (OWTF), is a framework which tries to unite great tools and make pen testing more efficient http://owtf.org https://twitter.com/owtfp
This project is the official implementation of 'DreamOmni2: Multimodal Instruction-based Editing and Generation (CVPR2026 Highlight)''
Visualizations of the connections between chaos theory and fractals through the logistic map; made for Veritasium YouTube video
A multi-instrument music transcription model developed by Kyutai and Mirelo.
CVE-2026-109618/109619 — 5 RCE chains + detection rules (Suricata, Sigma, ModSecurity). PHP session.upload_progress pre-auth exploit research.
中文语音识别; Mandarin Automatic Speech Recognition;
A collection of robotics simulation environments for reinforcement learning
TranslatedManage many git repos with sanity
A cross-engine test automation framework based on UI inspection
FinRL®-Meta: Dynamic datasets and market environments for FinRL.
Multi-Object Tracking via DeepSORT
The SpecterOps project management and reporting engine
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
Save your dotfiles once, deploy them everywhere
A differentiable PDE solving framework for machine learning