RATHOD-SHUBHAM

AJAX-Movie-Recommendation-System-with-Sentiment-Analysis

A content-based recommender system that recommends movies similar to the movie the user likes and analyses the sentiments of the reviews given by the user

stable-diffusion

A latent text-to-image diffusion model

Annotation-Converters

This Repo covers all formats of annotations for Object Detection and can easily convert from one form to another using attached scripts

neural-engine

Everything we actually know about the Apple Neural Engine (ANE)

tech-interview-handbook

💯 Curated coding interview preparation materials for busy software engineers

asl-ml-immersion

This repos contains notebooks for the Advanced Solutions Lab: ML Immersion

coding-interview-university

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

developer-roadmap

Interactive roadmaps, guides and other educational content to help developers grow in their careers.

Prompt-Engineering-Guide

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

albumentations-demo

The service for the demonstration of transforms in Albumentations library

CarDamageDetection_InstanceSegmentation_MaskRCNN_Detectron2

Detect damaged car parts using instance segmentation, mask r-cnn, and the Detectron2 library

car-damage-detection-using-sagemaker-and-tensorflow

Build a car damage detection model using Amazon Sagemaker and Tensorflow. Predict & mark “dent” and/or “scratch” in car images.

car-damage-detection

Detectron2 for car damage detection using custom dataset

damage-detection-2

notebooks

Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.

Machine-Learning-Algorithms-Materials

handson-ml3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Practical-Machine-Learning

Practical machine learning notebook & articles covers the machine learning end to end life cycle.

awesome-for-beginners

A list of awesome beginners-friendly projects.

100-Days-Of-ML-Code

100 Days of ML Coding

The-Machine-Learning-Solutions-Architect-Handbook

The Machine Learning Solutions Architect Handbook, published by Packt

grokking-the-object-oriented-design-interview

LIHQ

Long-Inference, High Quality Synthetic Speaker (AI avatar/ AI presenter)

RealTime_Detection-And-Classification-of-TrafficSigns

Real-Time Detection And Classification of Traffic Signs using YOLOv5s object detection algorithm. [AI PROJECT]

Real-Time-Object-Detection

PyTorch and OpenCV based application to perform real time object detection

awesome-point-cloud-analysis-2023

A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!

Grokking-the-Coding-Interview-Patterns

This course categorizes coding interview problems into a set of 16 patterns. Each pattern will be a complete tool - consisting of data structures, algorithms, and analysis techniques - to solve a specific category of problems. The goal is to develop an understanding of the underlying pattern, so that, we can apply that pattern to solve other problems.

low-level-design-primer

Dedicated Resources for the Low-Level System Design. Learn how to design and implement large-scale systems. Prep for the system design interview.

tutorials

Basic guidance on how to contribute to Papers with Code

Tabular-AutoML

Python Auto-ML Package for Tabular Datasets