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查看技能说明Revisiting Reverse Distillation
tientrandinh
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查看技能说明tientrandinh
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查看技能说明Code implementation of Data Efficient Stagewise Knowledge Distillation paper.
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查看技能说明GeorgeCazenavette
Official code for our CVPR '22 paper "Dataset Distillation by Matching Training Trajectories"
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查看技能说明haitongli
A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility
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查看技能说明lightly-ai
All-in-one training for vision models (YOLO, ViTs, RT-DETR, DINOv3): pretraining, fine-tuning, distillation.
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查看技能说明thu-ml
[ICML 2026] Official codebase for "Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation" & Causal For…
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查看技能说明NVlabs
rCM & Causal-rCM: Leading and Unified Algorithms/Infrastructures for Bidirectional/Autoregressive Video Diffusion Distillation at Scale
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查看技能说明megvii-research
The official implementation of [CVPR2022] Decoupled Knowledge Distillation https://arxiv.org/abs/2203.08679 and [ICCV2023] DOT: A Distillation-Oriented Trainer https://o…
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查看技能说明Intellindust-AI-Lab
Pytorch implementation of "EdgeCrafter: Compact ViTs for Edge Dense Prediction via Task-Specialized Distillation"
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查看技能说明gudaochangsheng
[CVPR 2026] Official PyTorch implementation of WaDi: Weight Direction-aware Distillation for One-step Image Synthesis
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查看技能说明Hramchenko
🚀 PyTorch Implementation of "Progressive Distillation for Fast Sampling of Diffusion Models(v-diffusion)"
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查看技能说明🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (ad…
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查看技能说明Ar9av
The foundational knowledge distillation pattern for building and maintaining an AI-powered Obsidian wiki. Based on Andrej Karpathy's LLM Wiki architecture. Use this skil…
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查看技能说明SimonZeng7108
EfficientSAM3 compresses SAM3 into lightweight, edge-friendly models via progressive knowledge distillation for fast promptable concept segmentation and tracking.

agentsope
SkillAlchemy — One thought conceived, one goal achieved. Accept any idea or distillation target and produce an installable SKILL.md. It uses Lens to clarify the problem…
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