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AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
FP-growth codes in "Machine Learning in Action"
华为2018软件精英挑战赛初赛代码,pure python without numpy,实现拉格朗日均值、线性回归、随机森林、指数平滑、模拟退火等算法。
📚 C/C++ 技术面试基础知识总结,包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.
信息系统分析与设计
A LibTorch inference implementation of the yolov5
Demo and other Python3 code
the implementation of fp-growth algorithm.
Share PyTorch binaries built for Raspberry Pi
# linear_regression_live This is the code for the "How to Do Linear Regression the Right Way" live session by Siraj Raval on Youtube ## Overview This is the code for [this](https://youtu.be/uwwWVAgJBcM) video on Youtube by Siraj Raval. I'm using a small dataset of student test scores and the amount of hours they studied. Intuitively, there must be a relationship right? The more you study, the better your test scores should be. We're going to use [linear regression](https://onlinecourses.science.psu.edu/stat501/node/250) to prove this relationship. Here are some helpful links: #### Gradient descent visualization https://raw.githubusercontent.com/mattnedrich/GradientDescentExample/master/gradient_descent_example.gif #### Sum of squared distances formula (to calculate our error) https://spin.atomicobject.com/wp-content/uploads/linear_regression_error1.png #### Partial derivative with respect to b and m (to perform gradient descent) https://spin.atomicobject.com/wp-content/uploads/linear_regression_gradient1.png ## Dependencies * numpy Python 2 and 3 both work for this. Use [pip](https://pip.pypa.io/en/stable/) to install any dependencies. ## Usage Just run ``python3 demo.py`` to see the results: ``` Starting gradient descent at b = 0, m = 0, error = 5565.107834483211 Running... After 1000 iterations b = 0.08893651993741346, m = 1.4777440851894448, error = 112.61481011613473 ``` ## Credits Credits for this code go to [mattnedrich](https://github.com/mattnedrich). I've merely created a wrapper to get people started.
Implementation of popular deep learning networks with TensorRT network definition API
Video stabilization using openCV
YOLOv5 in PyTorch > ONNX > CoreML > TFLite
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TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
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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.