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Type: Organization
Simple Python Adaboost Implementation
Minimal examples of data structures and algorithms in Python
Anomaly Detection with R
A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition
Cartopy - a cartographic python library with matplotlib support
We are building an open database of COVID-19 cases with chest X-ray or CT images.
Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.
Complete Assignments for Spring 2017 CS231n: Convolutional Neural Networks for Visual Recognition
Cracking the Coding Interview, 5th Edition
Cracking the Coding Interview 6th Ed. Solutions
Detecting Text in Natural Image with Connectionist Text Proposal Network
Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
Project: Unsupervised Anomaly Segmentation via Deep Feature Reconstruction
D's Machine Learning is a machine learning toolkit for python,focus on rightness but efficiency
🔴蓝灯最新版本下载 https://github.com/getlantern/download 🔴 Lantern Latest Download https://github.com/getlantern/lantern/releases/tag/latest 🔴
A face recognition demo performed by feeding images of faces recorded by a webcam into a trained FaceNet network to determine the identity of the face
Gradient based hyperparameter optimization & meta-learning package for TensorFlow
More readable and flexible yolov5 with more backbone(resnet, shufflenet, moblienet, efficientnet, hrnet) and (cbam,dcn and so on), and tensorrt
2017年买房经历总结出来的买房购房知识分享给大家,希望对大家有所帮助。买房不易,且买且珍惜。Sharing the knowledge of buy an own house that according to the experience at hangzhou in 2017 to all the people. It's not easy to buy a own house, so I hope that it would be useful to everyone.
:books: 计算机开放电子书汇总
A collection of various notebook extensions for Jupyter
A Python implementation of a kd-tree
蓝灯邀请码 FX8ZWN
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
System design patterns for machine learning
仅使用numpy从头开始实现神经网络,包括反向传播公式推导过程; numpy构建全连接层、卷积层、池化层、Flatten层;以及图像分类案例及精调网络案例等,持续更新中... ...
1st Place Solution for O2O Coupon Usage Forecast
Repository of my thesis "Understanding Random Forests"
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.