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Contains all important data structure and algorithms problems asked in interviews
List of references and online resources related to data science, machine learning and deep learning.
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold N…
An repository that contains all the Data Structures and Algorithms Notes, CS Fundamentals Notes, Web-development Notes, SDE Sheets, Star-approach for an Interview and Interview questions. The main …
🙌Kart of 232+ projects based on machine learning, deep learning, computer vision, natural language processing and all. Show your support by ✨ this repository.
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
List of books, blogs, newsletters and people!
Machine learning lessons and teaching projects designed for engineers
A curated list of deep learning resources for computer vision
A curated list of free courses & certifications.
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
Deep Learning and deep reinforcement learning research papers and some codes
Cool links & research papers related to Machine Learning applied to source code (MLonCode)
It contains interview preparation notes provided by iNeuron, important links, MLOps resources
Tips and resources to prepare for Behavioral interviews.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
A collection of the most important Github repos for ML, AI & Data science practitioners
Graph database optimized for fast analysis and real-time data processing. It is provided as an extension to PostgreSQL.
Data science interview questions with answers. Not ideally (yet)
30 days of JavaScript programming challenge is a step-by-step guide to learn JavaScript programming language in 30 days. This challenge may take more than 100 days, please just follow your own pace…
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
The aim of the project was to convert an image to speech. An image is processed and segmented to identify the text in the image. Then the characters are combined to form words and save it as a text…
Tesseract is a cross-OS optical character recognition (OCR) engine developed by HP in the 1980s, and since 2006, maintained by Google as an open-source project with high marks for accuracy in readi…
Project on Face Detection and Detecting Age ,Gender ,Emotion on Faces
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
Create a fully automated, end-to-end IRIS Training and Deployment using Azure MLOps
Contains Company Wise Questions sorted based on Frequency and all time