A unified inference and post-training framework for accelerated video generation.
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Updated
Oct 20, 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
NeoHorse-1: Towards Recursive Self-Improvement via Agentic Post-Training with Routing Harness.
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.
The complete post-training stack for LLMs, plus RL for any problem. SFT, DPO and multi-turn agentic RL, with evolutionary hyperparameter optimization built in.
🔥 On-Policy Self-Distillation in Diffusion Models
Halo is an open-source framework built by White Circle for training large language and multimodal models
Official Codebase for "Neural Thickets: Diverse Task Experts Are Dense Around Pretrained Weights" (ICML 2026 Spotlight)
An Asynchronous Reinforcement Learning Engine for Omni-Modal Post-Training at Scale
Explore the Multimodal “Aha Moment” on 2B Model
[ACL 2026 Oral] "LightReasoner: Can Small Language Models Teach Large Language Models Reasoning?"
Measuring how well CLI agents like Claude Code or Codex CLI can post-train base LLMs on a single H100 GPU in 10 hours
[ICLR 2026] An unified model for 4D human-scene reconstruction
[NeurIPS 2025 Spotlight] LLM post-training suite — featuring ReasonFlux, ReasonFlux-PRM, and ReasonFlux-Coder.
WorldEngine: Towards the Era of Post-Training for Autonomous Driving
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.
An easy-to-use, fast toolkit to scale up RL post-training on a single node.
verl for a single consumer GPU. PPO, GRPO and on-policy distillation on NVIDIA GPUs.
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