Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

Awesome Knowledge Distillation

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

A unified inference and post-training framework for accelerated video generation.

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.

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

MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.

Prompt engineering for developers

⚡ Flash Diffusion ⚡: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation (AAAI 2025 Oral)

Complete pipeline for Training Model Behavior in Agentic Systems

Segmind Distilled diffusion

A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.

🤗 Optimum Intel: Accelerate inference with Intel optimization tools