Implement a reasoning LLM in PyTorch from scratch, step by step
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Updated
May 25, 2026 - Jupyter Notebook
Implement a reasoning LLM in PyTorch from scratch, step by step
Awesome Knowledge Distillation
A unified inference and post-training framework for accelerated video generation.
TurboDiffusion: 100–200× Acceleration for Video Diffusion Models
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。
推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
The official repo for [NeurIPS'22] "ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation" and [TPAMI'23] "ViTPose++: Vision Transformer for Generic Body Pose Estimation"
PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.
Pytorch implementation of various Knowledge Distillation (KD) methods.
A PyTorch-based knowledge distillation toolkit for natural language processing
PaddleSlim is an open-source library for deep model compression and architecture search.
All-in-one training for vision models (YOLO, ViTs, RT-DETR, DINOv3): pretraining, fine-tuning, distillation.
Reinforcement Learning via Self-Distillation (SDPO)
Generate High-Quality Synthetics, Train, Measure, and Evaluate in a Single Pipeline
mobilev2-yolov5s剪枝、蒸馏,支持ncnn,tensorRT部署。ultra-light but better performence!
高质量中文预训练模型集合:最先进大模型、最快小模型、相似度专门模型
♾️ 开源数字永生框架 — 从聊天记录蒸馏任何人的七维数字分身。支持微信/飞书/iMessage/Telegram等12+平台,7种角色模板,对齐 OpenClaw Soul Spec 标准。一行指令让你的AI学会蒸馏。
NVIDIA FastGen: Fast Generation from Diffusion Models
Kandinsky 5.0: A family of diffusion models for Video & Image generation
[ICML 2026] Official codebase for "Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation" & Causal Forcing++
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