lhzhong

LSTM-Human-Activity-Recognition

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

CVPR2024-Papers-with-Code

CVPR 2024 论文和开源项目合集

Yet-Another-EfficientDet-Pytorch

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

distiller

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

micronet

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-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

UESTCthesis

电子科技大学毕设设计论文LaTeX模板

thesisuestc

ThesisUESTC-电子科技大学毕业论文模板

Production-Level-Deep-Learning

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

YOWO

You Only Watch Once: A Unified CNN Architecture for Real-Time Spatiotemporal Action Localization

CppPrimer

:books: Solutions for C++ Primer 5th exercises.

Convolutional-Neural-Network-Compression-Survey

YOLOv3-complete-pruning

提供对YOLOv3及Tiny的多种剪枝版本，以适应不同的需求。

YOLOv3-model-pruning

在 oxford hand 数据集上对 YOLOv3 做模型剪枝（network slimming）

Action_Recognition_using_Visual_Attention

TensorFlow Implementation of "Action Recognition using Visual Attention"

transferlearning-tutorial

《迁移学习简明手册》LaTex源码

Python

All Algorithms implemented in Python

Real-Time-Action-Recognition

Real-time pose estimation and action recognition

MetaPruning

MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning. In ICCV 2019.

Network-Speed-and-Compression

Network acceleration methods

awesome-AutoML-and-Lightweight-Models

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.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

Awesome-Pruning

A curated list of neural network pruning resources.

interview_internal_reference

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。

Efficient-Deep-Learning

Collection of recent methods on (deep) neural network compression and acceleration.

DeepLearning-500-questions

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scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

2019-Autumn-recruitment-experience

2019届秋招面经集合

FeatherCNN

FeatherCNN is a high performance inference engine for convolutional neural networks.

AI-Job-Notes

AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）

admm-pruning

Prune DNN using Alternating Direction Method of Multipliers (ADMM)

Awesome-model-compression-and-acceleration

rethinking-network-pruning

Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)