rohanmaan Goto Github PK
Name: Ronman
Type: User
Bio: A software developer experimenting with datasets and learning to solve real-world problems with Machine learning and AI || Never stop learning || ML || AI
Location: Munich
Name: Ronman
Type: User
Bio: A software developer experimenting with datasets and learning to solve real-world problems with Machine learning and AI || Never stop learning || ML || AI
Location: Munich
My solution to the Udacity Self-Driving Car Engineer Nanodegree Path Planning Project.
Udacity Self-Driving Car Nanodegree - PID Control project
Udacity Self-Driving Car Nanodegree - Semantic Segmentation Project
Script to automatically book a vaccine slot on Doctolib in the next seven days.
A curated collection of free Deep Learning related eBooks
Machine Learning From Scratch. Bare bones Python implementations of Machine Learning models and algorithms with a focus on transparency and accessibility. Aims to cover everything from Data Mining to Deep Learning.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Everything about Transfer Learning and Domain Adaptation--迁移学习
Udacity -self driving car nano degree Project P1- Lane Lines Detection
Built and trained a deep neural network to classify traffic signs, using TensorFlow. Experimented with different network architectures. Performed image pre-processing and validation to guard against overfitting.
Built and trained a convolutional neural network for end-to-end driving in a simulator, using TensorFlow and Keras. Used optimization techniques such as regularization and dropout to generalize the network for driving on multiple tracks.
Built an advanced lane-finding algorithm using distortion correction, image rectification, color transforms, and gradient thresholding. Identified lane curvature and vehicle displacement. Overcame environmental challenges such as shadows and pavement changes.
Created a vehicle detection and tracking pipeline with OpenCV, histogram of oriented gradients (HOG), and support vector machines (SVM). Optimized and evaluated the model on video data from a automotive camera taken during highway driving.
Implemented an Unscented Kalman Filter algorithm in C++ capable of accurately and performantly tracking a turning object.
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.