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A journey into Convolutional Neural Network visualization
Perform Boosting feedforward neural networks on MNIST database using AdaBoost.M2. Adaboost.M2 is a mutliclass boosting algorithm
😮 互联网 Java 工程师进阶知识完全扫盲
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
算法与数据结构等 - 知识荟萃 「长期更新中」【欢迎 watch,有兴趣点个 star,千万别 fork !】
AutoMeter-API是一款专门为测试人员准备的针对分布式服务,微服务API,接口,功能和性能一体的自动化测试平台,一站式解决项目管理,微服务,API接口,环境管理,测试用例,前置条件,变量管理,测试集合,测试计划,测试报告,支持分布式多机执行功能/性能测试兼容的一体化测试工作平台
A fast and expressive Matlab/MatConvNet deep learning API, with native automatic differentiation
:books: Awesome CS Books/Series(.pdf by git lfs) Warehouse, ProgrammingLanguage, SoftwareEngineering, Web, AI, ServerSideApplication, Infrastructure, FE etc. :dizzy: 优秀计算机科学与技术领域相关的书籍归档
A curated list of neural network pruning resources.
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
A curated list of papers, code and resources pertaining to zero shot learning
Chainer implementation of between-class learning for Image classification https://arxiv.org/abs/1711.10284
Chainer implementation of between-class learning for sound recognition https://arxiv.org/abs/1711.10282
Code for Class Anchor Clustering loss for training a distance-based open set classifier
Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"
《CMake入门实战》源码
A high-level toolbox for using complex valued neural networks in PyTorch
这是一个带约束条件的非支配排序遗传算法NSGA-II,解决了一个多目标优化问题
A GUI Tool for visualizing the intermediate layer of VGG-16 CNN trained on Imagenet
C++那些事
《C++ Primer》第五版中文版习题答案
:books: 技术面试必备基础知识
Code implementing the experiments described in the paper "On The Power of Curriculum Learning in Training Deep Networks" by Hacohen & Weinshall (ICML 2019)
cvpr2019/cvpr2018/cvpr2019 papers,极市团队整理
Javascript 实现的 CXK 打篮球游戏
A Pytorch implementation of "Data-Free Learning of Student Networks" (ICCV 2019).
Interactive SVM Explorer, using Dash and scikit-learn
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.