RATHOD-SHUBHAM

RATHOD-SHUBHAM's Stars

• jwasham/coding-interview-university

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

  308k8.4k54077.2k

• kamranahmedse/developer-roadmap

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

  Language:TypeScript303k6.8k2.6k39.7k

• yangshun/tech-interview-handbook

  💯 Curated coding interview preparation materials for busy software engineers

  Language:TypeScript120k2.1k10514.8k

• MunGell/awesome-for-beginners

  A list of awesome beginners-friendly projects.

  70.2k1.3k1687k

• CompVis/stable-diffusion

  A latent text-to-image diffusion model

  Language:Jupyter Notebook68.9k56371710.2k

• dair-ai/Prompt-Engineering-Guide

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

  Language:MDX51.3k5632075k

• Avik-Jain/100-Days-Of-ML-Code

  100 Days of ML Coding

  45.9k2.4k010.7k

• ageron/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.

  Language:Jupyter Notebook8.1k1451143.3k

• prasadgujar/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.

  6.6k17122.3k

• roboflow/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.

  Language:Jupyter Notebook5.7k80145906

• tssovi/grokking-the-object-oriented-design-interview

  Language:Python5k60102.5k

• hollance/neural-engine

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

  2.1k771378

• GoogleCloudPlatform/asl-ml-immersion

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

  Language:Jupyter Notebook2k4901.2k

• NUAAXQ/awesome-point-cloud-analysis-2023

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

  1.5k680191

• youssefHosni/Practical-Machine-Learning

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

  Language:Jupyter Notebook923190200

• kishan0725/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

  Language:Jupyter Notebook5421018457

• krishnaik06/Machine-Learning-Algorithms-Materials

  Language:Jupyter Notebook417101233

• johnGettings/LIHQ

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

  Language:Python245161040

• akash-agni/Real-Time-Object-Detection

  PyTorch and OpenCV based application to perform real time object detection

  Language:Python1435765

• PacktPublishing/The-Machine-Learning-Solutions-Architect-Handbook

  The Machine Learning Solutions Architect Handbook, published by Packt

  Language:Jupyter Notebook1396145

• IliaLarchenko/albumentations-demo

  The service for the demonstration of transforms in Albumentations library

  Language:Python1051417

• ngun7/Annotation-Converters

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

  Language:Python332210

• aryan0141/RealTime_Detection-And-Classification-of-TrafficSigns

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

  Language:Python281211

• ebeyabraham/car-damage-detection

  Detectron2 for car damage detection using custom dataset

  Language:Jupyter Notebook25434

• sagnik1511/Tabular-AutoML

  Python Auto-ML Package for Tabular Datasets

  Language:Python2341513

• paperswithcode/tutorials

  Basic guidance on how to contribute to Papers with Code

  20573

• aws-samples/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.

  Language:Jupyter Notebook13202

• goodlinkuser/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.

  9257

• AChand20/damage-detection-2

  Language:Python8121

• img88/CarDamageDetection_InstanceSegmentation_MaskRCNN_Detectron2

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

  Language:Jupyter Notebook2100