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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 is a library that provides advanced quantization and compression techniques for trained neural network models.
ACM/LeetCode算法竞赛路线图,最全的算法学习地图!
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
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。
Pruned model: VGG & ResNet-50
Quantization of Convolutional Neural networks.
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/
PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
Official Pytorch implementation of Dynamic-Token-Pruning (ICCV2023)
[ECCV 2022] EdgeViT: Competing Light-weight CNNs on Mobile Devices with Vision Transformers
B站Efficient-Neural-Network学习分享的配套代码
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
本项目旨在分享大模型相关技术原理以及实战经验。
Code for the Make Your Own Neural Network book
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
学堂在线《机器学习》实验课by张敏老师
Model Quantization Benchmark
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(NeurIPS2020)
Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"
Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)
RM Operation can equivalently convert ResNet to VGG, which is better for pruning; and can help RepVGG perform better when the depth is large.
Sign Language Recognition using WiFi and Convolutional Neural Networks
[ECCV2020] Knowledge Distillation Meets Self-Supervision
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
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.