suryakiranmg Goto Github PK
Name: Suryakiran
Type: User
Bio: Engineer, Lifelong Learner.
Name: Suryakiran
Type: User
Bio: Engineer, Lifelong Learner.
Project 1 : ADAS Features on 4-Wheel Drive Smart Car for Raspberry Pi Project 2 : LiDAR data classification using Pretrained Neural Net
Awesome resources for learning control theory
:books: List of awesome university courses for learning Computer Science!
Coding interview questions with solutions (deprecated)
Coding Interview Prep Stuff
UCLA CS 180
List of Computer Science courses with video lectures.
Project1 : Deep Learning - Flower Recognition using Transfer Learning Project2 : OpenCV - Highway Lane Detection on Camera Images & Video Project3 : Notes on DL & ML libraries, PyTorch
SMT Solver for Nonlinear Theories of Reals
Dynamic movement primitives (DMPs) are a method of trajectory control/planning from Stefan Schaal’s lab. Complex movements have long been thought to be composed of sets of primitive action ‘building blocks’ executed in sequence and \ or in parallel, and DMPs are a proposed mathematical formalization of these primitives. The difference between DMPs and previously proposed building blocks is that each DMP is a nonlinear dynamical system. The basic idea is that you take a dynamical system with well specified, stable behavior and add another term that makes it follow some interesting trajectory as it goes about its business. The DMP differential equations (Transformation System, Canonical System, Non-linear Function) realize a general way of generating point-to-point movements. Imitation learning using linear regression is performed to compute the weight factor W from a demonstrated trajectory dataset, given by a teacher. The quality of the imitation is evaluated by comparing the training data with the data generated by the DMP.
Over 400 software engineering companies that are easy to apply to
Demos of some project ideas for ECE 6460
A complete daily plan for studying to become a Google software engineer.
Encounters with Python
Comparison of a 2nd Order Butterworth Filter with a Kalman Filter in Data Filtering
Linear System Theory
Makeathon - SparkSC
Running FreeRTOS on Arduino, STM32F4x and Cortex M based MCUs
Practice
Machine learning cheatsheet
A collection of video resources for machine learning
Models and examples built with TensorFlow
A cheatsheet of modern C++ language and library features.
Tools : CUDA C, Multicore Programming, Batch Scripting, MATLAB
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.