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

Awesome Knowledge Distillation

PaddleSlim is an open-source library for deep model compression and architecture search.

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

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

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"

mobilev2-yolov5s剪枝、蒸馏，支持ncnn，tensorRT部署。ultra-light but better performence！

irresponsible innovation. Try now at https://chat.dev/

🤗 Optimum Intel: Accelerate inference with Intel optimization tools

The Official Repo for "Quick Start Guide to Large Language Models"

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

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

BERT distillation（基于BERT的蒸馏实验 ）

Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.

(CVPR 2022) A minimalist, mapless, end-to-end self-driving stack for joint perception, prediction, planning and control.

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

A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR-100; PyTorch code).