titanwings / distilly

Distilly — Distill how they think into reusable Skills for any Agent or Bot. Formerly Colleague Skill（原同事 Skill）.

kangarooking / cangjie-skill

把书、长视频、播客等高价值内容蒸馏成可执行的 Agent Skills（Distill high-value content from books, long-form videos, podcasts, and more into executable Agent Skills）

PaddlePaddle / PaddleClas

A treasure chest for visual classification and recognition powered by PaddlePaddle

jingyi0000 / VLM_survey

Collection of AWESOME vision-language models for vision tasks

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

yoshitomo-matsubara / torchdistill

A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. 🏆26 knowledge distillation methods presented at TPAMI, CVPR, ICLR, ECCV, NeurIPS, ICCV, AAAI, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.

chrisliu298 / awesome-on-policy-distillation

A curated collection of papers, technical reports, frameworks, and tools for on-policy distillation (OPD) of large language models

nick7nlp / Awesome-LLM-On-Policy-Distillation

A curated collection of papers and resources on On-Policy Distillation for Large Language Models.

zengxiao-he / tessera

From teacher to tiles — a from-scratch LLM distillation & serving engine: custom Triton/CUDA kernels, FSDP distillation, paged-KV continuous batching, speculative decoding, a Rust gateway, a JAX oracle, and interpretability tooling.

DaoyuanLi2816 / mini-verl

verl for a single consumer GPU. PPO, GRPO and on-policy distillation on NVIDIA GPUs.

ayutaz / sanoTTS-jp

559 K パラメータの日本語 TTS を ESP32-S3 で実時間合成。漢字かな交じり文の形態素解析・アクセント推定まで端末内で走る（M5Stack CoreS3 実機で確認）。推論は依存ゼロの C99、ブラウザ demo あり。arXiv:2608.21378 sanoTTS の日本語 clean-room 再実装。⚠️ コードは MIT ですが、配布モデルの重みは MIT ではありません（LICENSE-MODEL.md。出力に用途制限が伝播します）

tomerglick57 / Jevstiller

Distill a repeated Jev classification task into a local model, on the fly — same answers, your hardware.

hufeng173 / kunpeng-skill

Kunpeng-Skill is a powerful multimodal distillation toolkit that transforms high-value insights from repositories, websites, UIs, videos, images, and documents into reusable methodologies, model-agnostic regeneration specifications, and more.

sanshengai / sansheng-distill

Claude Code skill: distill a book or video series into one interactive single-file HTML · 书籍/视频深度蒸馏

zsxm1998 / awesome-perception-aware-rlvr

Unified reproductions, benchmarking & evaluation for perception-aware RLVR and OPD in VLMs. 19 methods · 30+ benchmarks · Official code of CGPO (ACM MM 2026 Oral).

usamahz / make-your-model-fast

A Systems View of Efficient Machine Learning, from Silicon to Agents. Fourteen parts, from roofline analysis and vector units up through kernels, compilers, quantisation, compression, vision, on-device language models, robotics, profiling, serving and agents.

kissshhot / Awesome-OPD

A curated paper list on On-Policy Distillation (OPD) & On-Policy Self-Distillation (OPSD) for LLMs — student rollouts + teacher feedback, covering white-box/black-box methods, OPD-RL hybrids, agentic & multimodal applications, and industrial multi-teacher recipes.

zencefilefendi / kadi

⚖️ Kadı — a calibrated judge in front of your frontier LLM. Routine decisions answered locally with a conformal-prediction guarantee (≤ α disagreement with the oracle); everything else escalated and learned from. Zero-dependency Python.