Pytorch implementation of various Knowledge Distillation (KD) methods.
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Updated
Nov 25, 2021 - Python
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.
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"
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.
Segmind Distilled diffusion
⚡ Flash Diffusion ⚡: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation (AAAI 2025 Oral)
A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.
irresponsible innovation. Try now at https://chat.dev/
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.
A Compressed Stable Diffusion for Efficient Text-to-Image Generation [ECCV'24]
Papers and Book to look at when starting AGI 📚
Insightface Keras implementation
A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR-100; PyTorch code).
Knowledge distillation in text classification with pytorch. 知识蒸馏,中文文本分类,教师模型BERT、XLNET,学生模型biLSTM。
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