yingjiechang Goto Github PK

advanced-data-analysis-and-machine-learning

Data characteristics and pre-processing, linear and nonlinear dimensionality reduction. Logistic, principal component and advanced regression methods. Probabilistic graphical models, Bayesian networks and probabilistic inference. Deep and convolutional neural networks. Case-based topics on data analysis and machine learning by visiting lecturers.

aimet

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

algorithm-stone

ACM/LeetCode算法竞赛路线图，最全的算法学习地图！

apimanager

ApiManager - CrapApi免费开源API接口管理系统、API接口调试工具：API接口管理、文档管理、接口调试，GitHub、码云、开源**托管源码。http://crap.cn

binance-quantization

虚拟货币(BTC、ETH)炒币量化系统项目。币安交易所-量化交易-网格策略实践。火币、OKEX热门交易所未来都支持。最简单收益最靠谱的项目，包教包会。

books-free-books

cnn-pruning

Pruned model: VGG & ResNet-50

cnn-quantization

Quantization of Convolutional Neural networks.

cv_note

记录cv算法工程师的成长之路，分享计算机视觉和模型压缩部署技术栈笔记。https://harleyszhang.github.io/cv_note/

dfq

PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.

distiller

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

dynamic-token-pruning

Official Pytorch implementation of Dynamic-Token-Pruning (ICCV2023)

edge-intelligence

edgevit

[ECCV 2022] EdgeViT: Competing Light-weight CNNs on Mobile Devices with Vision Transformers

efficient-neural-network-bilibili

B站Efficient-Neural-Network学习分享的配套代码

java-resource

存放JAVA开发的设计**、算法：《剑指Offer》、《编程珠玑》、《深入理解Java虚拟机：JVM高级特性与最佳实践》、《重构-改善既有代码的设计 中文版》、《clean_code(中文完整版)》、《Java编程**(第4版)》、《Java核心技术 卷I (第8版)》、《Quartz_Job+Scheduling_Framework》；一些大的上传不上来的文件在README

llm-action

本项目旨在分享大模型相关技术原理以及实战经验。

makeyourownneuralnetwork

Code for the Make Your Own Neural Network book

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

ml_class

学堂在线《机器学习》实验课by张敏老师

mqbench

Model Quantization Benchmark

mvision-quantize-

机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶

pruning-filter-in-filter

Pruning Filter in Filter(NeurIPS2020)

quantizations

quantized_distillation

Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"

rethinking-network-pruning

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

rmnet

RM Operation can equivalently convert ResNet to VGG, which is better for pruning; and can help RepVGG perform better when the depth is large.

signfi

Sign Language Recognition using WiFi and Convolutional Neural Networks

sskd

[ECCV2020] Knowledge Distillation Meets Self-Supervision

study_book

本项目收集了计算机类常用电子书整理，附带下载链接，包括Java，Python，Linux，Go，C，C++，数据结构与算法，人工智能，计算机基础，面试，设计模式，数据库，前端、TensorFlow、pytorch、keras。NLP、机器学习，深度学习、大数据系列(Spark,Hadoop,Scala,kafka）等书籍