📊 Weekly development breakdown
nykabhishek Goto Github PK
Name: Abhishek Nayak
Type: User
Company: Texas A&M University
Bio: Helping robots see the world and move around!
Name: Abhishek Nayak
Type: User
Company: Texas A&M University
Bio: Helping robots see the world and move around!
Attention based model for learning to solve different routing problems
:sunglasses: Curated list of awesome lists
A curated list of cheat sheets and documentation for the AI and ML community for quick access
Curated List of Self-Driving Cars and Autonomous Vehicles Resources
Camera Calibration using OpenCV
Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)
A complete computer science study plan to become a software engineer.
Short Courses
Assignments of the Self Driving Cars Specialization offered by University of Toronto on Coursera
fast.ai Courses
Public facing notes page
Solutions to problems sent by dailycodingproblem.com
Cheat Sheets
Deep Reinforcement Learning with Python, Second Edition, published by Packt
Labs for Course DP-100: Designing and Implementing Data Science Solutions on Microsoft Azure
Reinplemtation of paper "A reinforcement learning approach for optimizing multiple traveling salesman problems over graphs"
Python implementation of Dubin's curves
My Repository with the notebook assignments and the solutions of the course
A New Bounding Approach for the Curvature Constrained Shortest Path Problem
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Scripts to convert lane marking annotations between different standards
End-to-end Lane Detection for Self-Driving Cars
Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)
Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)
Learn OpenCV : C++ and Python Examples
💡 LeetCode in C++/Java/Python (respect coding conventions)
Library with search algorithms for task and path planning for multi robot/agent systems
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.