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Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-…
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
You Only Watch Once: A Unified CNN Architecture for Real-Time Spatiotemporal Action Localization
提供对YOLOv3及Tiny的多种剪枝版本，以适应不同的需求。
在 oxford hand 数据集上对 YOLOv3 做模型剪枝（network slimming）
TensorFlow Implementation of "Action Recognition using Visual Attention"
All Algorithms implemented in Python
Real-time pose estimation and action recognition
MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning. In ICCV 2019.
A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) H…
A curated list of neural network pruning resources.
2023年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。
Collection of recent methods on (deep) neural network compression and acceleration.
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06
FeatherCNN is a high performance inference engine for convolutional neural networks.
Prune DNN using Alternating Direction Method of Multipliers (ADMM)
Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)