algorithms-for-automated-driving

Each chapter of this (mini-)book guides you in programming one important software component for automated driving.

bostongov-gsoc

codealpha_music_recommendation_system

codeclause-data-science

codsoft_taskno.1

Build a simple chatbot that responds to user inputs based on predefined rules. Use if-else statements or pattern matching techniques to identify user queries and provide appropriate responses. This will give you a basic understanding of natural language processing and conversation flow.

codsoft_taskno.2

codsoft_taskno.3

Combine computer vision and natural language processing to build an image captioning AI. Use pre-trained image recognition models like VGG or ResNet to extract features from images, and then use a recurrent neural network (RNN) or transformer-based model to generate captions for those images.

codsoft_taskno.4

Create a simple recommendation system that suggests items to users based on their preferences. You can use techniques like collaborative filtering or content-based filtering to recommend movies, books, or products to users.

complete-data-science-materials

computer-vision-for-autonomous-cars

This repository contains some explanations on how autonomous driving works with computer vision and some practical cases on the subject.

cvat

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

data-science-ebooks

Data Science E-books, Interview Resources and Cheat-sheets

examples

Fully-working mlpack example programs

functional-programming

Functional programming (FP) is a style of software development emphasizing functions that don't depend on program state. Functional code is easier to test and reuse, simpler to parallelize, and less prone to bugs than other code. Scala is an emerging JVM language that offers strong support for FP.

gaming-cafe-management-system

hotel-management-system

Hotel Management System

khanrayyan3622

machine-learning-for-healthcare-analytics

Machine Learning (ML) has changed the way organizations and individuals use data to improve the efficiency of a system. ML algorithms allow strategists to deal with a variety of structured, unstructured, and semi-structured data. Machine Learning for Healthcare Analytics Projects is packed with new approaches and methodologies.

mlpack

mlpack: a fast, header-only C++ machine learning library

roots-international-school

scala-chisel-learning-journey

About The Scala-Chisel learning journey involves mastering the Scala programming language and its integration with Chisel, a hardware construction language. Through hands-on projects, learners gain expertise in designing and testing complex hardware circuits efficiently and concisely using Scala and Chisel's high-level abstractions.

secure-healthcare-information-network-system-design-implementation

Secure Healthcare Info Network System: Enterprise Network Project with Hierarchical Design, VLANs, Inter-VLAN Routing, DHCP, SSH, OSPF, HSRP, Firewall, NAT, ACLs, VoIP, WLC, EtherChannel, STP, Static IPv4, Subnetting & more.

summerofcode

Google Summer of Code 2024 at the City of Boston