A unified inference and post-training framework for accelerated video generation.
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Updated
Jul 16, 2026 - Python
A unified inference and post-training framework for accelerated video generation.
Awesome Reasoning LLM Tutorial/Survey/Guide
心理健康大模型 (LLM x Mental Health), Pre & Post-training & Dataset & Evaluation & Depoly & RAG, with InternLM / Qwen / Baichuan / DeepSeek / Mixtral / LLama / GLM series models
The living ecosystem where AI agents complete tasks through workflow loops, improve through iterative execution, are evaluated by mentor agents or humans in the loop, and turn completed work into reusable work experience and data to improve future agents.
Official Codebase for "Neural Thickets: Diverse Task Experts Are Dense Around Pretrained Weights" (ICML 2026 Spotlight)
Explore the Multimodal “Aha Moment” on 2B Model
[ACL 2026 Oral] "LightReasoner: Can Small Language Models Teach Large Language Models Reasoning?"
[NeurIPS 2025 Spotlight] LLM post-training suite — featuring ReasonFlux, ReasonFlux-PRM, and ReasonFlux-Coder.
A curated collection of papers, technical reports, frameworks, and tools for on-policy distillation (OPD) of large language models
[ICLR 2026] An unified model for 4D human-scene reconstruction
An Asynchronous Reinforcement Learning Engine for Omni-Modal Post-Training at Scale
WorldEngine: Towards the Era of Post-Training for Autonomous Driving
Measuring how well CLI agents like Claude Code or Codex CLI can post-train base LLMs on a single H100 GPU in 10 hours
Post-training scripts and samples for NVIDIA Cosmos ecosystem
[NeurIPS 2025] Flow x RL. "ReinFlow: Fine-tuning Flow Policy with Online Reinforcement Learning". Support VLAs e.g., Pi0, Pi0.5, GR00TN1.5. Fully open-sourced.
Train a Language Model with GRPO to create a schedule from a list of events and priorities
LLMInternSkill: LLM internship resume and job-search Codex Skill for resume polish, JD tailoring, evidence guard, interview grilling, and Project Scout. 大模型实习简历与求职工具箱。
A collection of vision-language-action model post-training methods.
Revisiting Mid-training in the Era of Reinforcement Learning Scaling
RapidFire AI: Rapid AI Customization from RAG to Fine-Tuning
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