Kamakshi Ojha's Projects
AI-Code is an open-source project designed to help individuals learn and understand foundational code implementations of various AI algorithms, providing structured guides, resources, and hands-on projects across multiple AI domains like ML, DL, NLP, and GANs.
Discover, connect, and immerse yourself in the world of books with BookCove. Explore an extensive collection, engage in vibrant discussions with fellow readers, and find personalized book recommendations. Experience the ultimate online hub for book enthusiasts, where literature comes alive.
πβ¨ open source projects
Deep Learning Simplified is an Open-source repository, containing beginner to advance level deep learning projects for the contributors, who are willing to start their journey in Deep Learning. Devfolio URL, https://devfolio.co/projects/deep-learning-simplified-f013
Clone of Flipkart using HTML,CSS and JavaScript
Make your first Pull Request on Hacktoberfest 2023. Don't forget to spread love and if you like give us a βοΈ
Hacktoberfest 2023 OPEN FIRST Pull Request π
Send your valuable codes here
hacktoberfest, hacktoberfest-accepted, hacktoberfest2023
A curated list of awesome machine learning frameworks, libraries and software (by language). I
it is a react app to perform operations on your text.
ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.
ML-Crate stands as the ultimate hub for a multitude of exciting ML projects, serving as the go-to resource haven for passionate and dedicated ML enthusiasts!ππ« Devfolio URL, https://devfolio.co/projects/mlcrate-98f9
these are the DSA beginner programs,i have practiced till now.
ResourceHub is an open-source project that serves as a one-stop repository of valuable resources curated by the amazing contributors in the communityπ
SciCommons-backend
SciCommons-frontend