nykabhishek Goto Github PK

attention-learn-to-route

Attention based model for learning to solve different routing problems

awesome

:sunglasses: Curated list of awesome lists

awesome-ai-ml-cheatsheet

A curated list of cheat sheets and documentation for the AI and ML community for quick access

awesome-autonomous-vehicles

Curated List of Self-Driving Cars and Autonomous Vehicles Resources

camera-calibration

Camera Calibration using OpenCV

codes-for-lane-detection

Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)

coding-interview-university

A complete computer science study plan to become a software engineer.

coehpc

Short Courses

coursera-self_driving_cars_specialization

Assignments of the Self Driving Cars Specialization offered by University of Toronto on Coursera

courses

fast.ai Courses

cs231n.github.io

Public facing notes page

daily-coding-problem

Solutions to problems sent by dailycodingproblem.com

data-science--cheat-sheet

Cheat Sheets

deep-reinforcement-learning-with-python

Deep Reinforcement Learning with Python, Second Edition, published by Packt

deep_learning_lectures

dp100

Labs for Course DP-100: Designing and Implementing Data Science Solutions on Microsoft Azure

drl-mtsp

Reinplemtation of paper "A reinforcement learning approach for optimizing multiple traveling salesman problems over graphs"

dubins_py

Python implementation of Dubin's curves

fundamentals-of-reinforcement-learning-coursera

My Repository with the notebook assignments and the solutions of the course

g-star

A New Bounding Approach for the Curvature Constrained Shortest Path Problem

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

interactive-coding-challenges

120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

kalman-and-bayesian-filters-in-python

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.

lane-annotation-utils

Scripts to convert lane marking annotations between different standards

lanedetection_end2end

End-to-end Lane Detection for Self-Driving Cars

learn2branch

Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)

learning-tsp

Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)

learnopencv

Learn OpenCV : C++ and Python Examples

leetcode

💡 LeetCode in C++/Java/Python (respect coding conventions)

libmultirobotplanning

Library with search algorithms for task and path planning for multi robot/agent systems