model-compression topic
Efficient-Deep-Learning
Collection of recent methods on (deep) neural network compression and acceleration.
LightCTR
Lightweight and Scalable framework that combines mainstream algorithms of Click-Through-Rate prediction based computational DAG, philosophy of Parameter Server and Ring-AllReduce collective communicat...
Torch-Pruning
[CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs
knowledge-distillation-papers
knowledge distillation papers
Efficient-Computing
Efficient computing methods developed by Huawei Noah's Ark Lab
ghostnet.pytorch
[CVPR2020] GhostNet: More Features from Cheap Operations
filter-pruning-geometric-median
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration (CVPR 2019 Oral)
KD_Lib
A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quantization.
Model-Compression-Papers
Papers for deep neural network compression and acceleration
archai
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.