hao-ai-lab / FastVideo
A unified inference and post-training framework for accelerated video generation.
hao-ai-lab / FastVideo
worldbench / DiffusionOPSD
🔥 On-Policy Self-Distillation in Diffusion Models
verl-project / verl
verl/HybridFlow: A Flexible and Efficient RL Post-Training Framework
NetX-lab / Libra
Libra: Efficient Resource Management for Agentic RL Post-Training
vanzll / DiffusionART
Official Implementation of "DiffusionART: Efficient, Stable and Scalable Reinforcement of Diffusion Models"
datamllab / OpenEBFM
Open-source code for training and scaling up energy-based foundation models.
radixark / miles
Miles is an enterprise-facing reinforcement learning framework for LLM and VLM post-training, forked from and co-evolving with slime.
whitecircle / halo
Halo is an open-source framework built by White Circle for training large language and multimodal models
google / tunix
A Lightweight LLM Post-Training Library
ZJU-REAL / TTPO
TTPO: Test-Time Policy Optimization
DAGroup-PKU / PyRUA-Lean
Fewer Tokens, Better Action: GPT-6 Astra Robot Agents with 14% Higher Success but 65% Fewer Tokens
SergioTermann / awesome-post-training-RL
A curated list of papers on reinforcement learning post-training for LLMs
IGL-HKUST / PURE
[ACM MM 2026] PURE: Refining Feed-forward 3D Reconstruction with Unlabeled Post-training
thinking-machines-lab / tinker-cookbook
Post-training with Tinker
allenai / open-instruct
AllenAI's post-training codebase
intel / neural-compressor
SOTA low-bit LLM quantization (INT8/FP8/MXFP8/INT4/MXFP4/NVFP4) & sparsity; leading model compression techniques on PyTorch, TensorFlow, and ONNX Runtime
AI-Efficiency / Awesome-Model-Quantization
A curated collection of papers, benchmarks, surveys, and tools for model quantization, covering low-bit networks, LLMs, multimodal and generative models, vector and lattice quantization, and efficient deployment.
bespokelabsai / curator
Synthetic data curation for post-training and structured data extraction
TokenRhythm / NeoHorse
NeoHorse-1: Towards Recursive Self-Improvement via Agentic Post-Training with Routing Harness.
ray-r-ren / agent-apprenticeship
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.
AgileRL / AgileRL
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.
chrisliu298 / awesome-on-policy-distillation
A curated collection of papers, technical reports, frameworks, and tools for on-policy distillation (OPD) of large language models
MeiGen-AI / OPSD-V
On-Policy Self-Distillation for Post-Training Few-Step Autoregressive Video Generators
sunrainyg / RandOpt
Official Codebase for "Neural Thickets: Diverse Task Experts Are Dense Around Pretrained Weights" (ICML 2026 Spotlight)
redai-studio / Relax
An Asynchronous Reinforcement Learning Engine for Omni-Modal Post-Training at Scale
XYZ-AI-Lab / axrl
AxisRL is an agentic RL post-training framework built on SGLang rollout, Megatron training, and real-world agent workflows.
aisa-group / PostTrainBench
Measuring how well CLI agents like Claude Code or Codex CLI can post-train base LLMs on a single H100 GPU in 10 hours
DaoyuanLi2816 / mini-verl
verl for a single consumer GPU. PPO, GRPO and on-policy distillation on NVIDIA GPUs.
znxzsy / VeriInk
Verifiable handwriting synthesis for failure-driven multimodal training and regression.
jinzijian / EvoTrace
Compile real-world Claude Code and Codex trajectories into verified, tradable post-training assets.
evolvent-ai / RSIBench-Data
Synthetic data generation, post-training, and E2B benchmark evaluation infrastructure.
bandr-ai / bandits
Trace mining for post-training. Filter trajectories, draft verifiers, export SFT and RL data.
GENTEL-lab / Fold2Reason
Official code for Fold2Reason: Enhancing general reasoning in language models through protein-structure post-training.
aibuildai-inc / aibuildai-llm-posttrain-agent
AIBuildAI LLM-Post-Train Agent: a recursive self-improving (RSI) agent for autonomous LLM post-training
DAGroup-PKU / ViGAR
Rethinking World-Action Model for Compositional and In-context Robotic Manipulation
Dreamer-Toby / STEPQuant
STEPQuant: When and Where Errors Matter in Delta-Rule Recurrent State Quantization
RadixRootMind / RadixQuantVLA
RadixQuantVLA is a unified, Lego-like framework for post-training quantization, benchmarking, and deployment preparation of Vision-Language-Action models, integrating QuantVLA, Omega-QVLA, OpenVLA, UniVLA, StarVLA, GR00T, and Pi0.5 routes with standardized launchers and validation on LIBERO benchmarks.
vigorlee / eidra-agent
Persona agents with explicit memory, retrieval, adversarial smoke tests and a practical post-training roadmap.
lok-i / vibe
Post-training humanoid whole-body trackers for perceptive control tasks
huyxdang / Tiny-GPT-Live
Can you train a GPT-Live with $50?
bubble65 / EMU-Agentic-PostTrain
Post-training infra for agentic image generation.
langchain-ai / smithtune
LangSmith Post-Training CLI
changdaeoh / sharpening-tax
Official codebase for the paper "Sharpening Tax in Post-Training"
Oliverbansk / Awesome-Test-Time-Robot-Learning
A curated list and taxonomy of test-time robot learning: RL post-training, policy steering, test-time adaptation and training, test-time scaling, in-context learning, and policy self-improvement.
tianyi-zhang-02 / cooking-agi
Learning how to cook AGI from models, data, memory, search, feedback, and evaluation.
inclusionAI / TorchTurbo
A supernode-native post-training engine for rapidly adapting and training LLMs & VLMs
VeRITAS-wuren / OpenCSR
An explainable and reproducible post-training system for tool-using customer service agents with SFT, GRPO, verl and vLLM.
lvsir18 / CS224n-Winter-2026-Learning-Notes
这是一套围绕 Stanford CS224N: Natural Language Processing with Deep Learning 整理的系统课程笔记。仓库以课程 19 节 Lecture 为主线，从 Word Vectors、RNN、Attention、Transformer 一路延伸到 Pretraining、Post-training、PEFT、RAG、Agents、Reasoning、Multilinguality、Interpretability 与 Multimodality。
SoMarkAI / OXR
An open-source document parsing model with SOTA accuracy and speed, using an RSI loop during post-training.
UniX-AI-Lab / StreamOPD
[Preprint 2026] StreamOPD: A Post-Training Recipe with Spatio-Temporal Cue Gating for Streaming Video Understanding