Pinned Repositories
AmazonComprehend-Natural-Language-Processing--NLP
Amazon Comprehend is a natural-language processing (NLP) service that uses machine learning to uncover information in unstructured data. The service can identify critical elements in data, including references to language, people, and places, and the text files can be categorized by relevant topics.
Artificial-Intelligence
A curated list of my Artificial Intelligence project.
Cloud_Computing-ADB
Cloud Computing Project - Web application created and hosted on different cloud platforms.
Database-Managment-System
In this project, I have designed and implemented a database for keeping track of information about a DBMS subsystem for managing discretionary access control.
DataStructure-And-Algorithm
Computer science is the study of problems, problem-solving, and the solutions that come out of the problem-solving process. This repo contains solutions to algorithmic problems from various platforms like AlgoExpert, LeetCode, HackerRank, CodeSignal, etc.
DeepLearning
Deep learning is a class of machine learning algorithms that  uses multiple layers to progressively extract higher-level features from the raw input.
DiffusionModel
Diffusion models are deep generative models that work by adding noise (Gaussian noise) to the available training data (also known as the forward diffusion process) and then reversing the process (known as denoising or the reverse diffusion process) to recover the data.
GenAI-2
This repository is my platform to learn, experiment, and innovate with LLMs. Here I try to dive in and discover diverse applications, research experiments, and projects fueled by the power of language models.
Whatsapp_web
Send Message to Unknown number without actually saving them.
Yolo-NAS-1
YOLO_NAS is an architecture for object detection that automatically searches for optimal neural network structures, while Segment Anything Model is a versatile model for segmenting various objects in images.
RATHOD-SHUBHAM's Repositories
RATHOD-SHUBHAM/DataStructure-And-Algorithm
Computer science is the study of problems, problem-solving, and the solutions that come out of the problem-solving process. This repo contains solutions to algorithmic problems from various platforms like AlgoExpert, LeetCode, HackerRank, CodeSignal, etc.
RATHOD-SHUBHAM/GenAI-2
This repository is my platform to learn, experiment, and innovate with LLMs. Here I try to dive in and discover diverse applications, research experiments, and projects fueled by the power of language models.
RATHOD-SHUBHAM/DriverAssistant
Upon sleep detection, the code will trigger notifications that include a combination of gentle vibrations on the watch and an escalating audio alert on the phone. This approach provides a multi-sensory wake-up cue to increase the user's chance of being roused from sleep.
RATHOD-SHUBHAM/GenAI-1
Prompt engineering is a concept in AI[NLP]. Prompt engineering typically works by converting one or more tasks to a prompt-based dataset and training a language model with what has been called "prompt-based learning" or just "prompt learning".
RATHOD-SHUBHAM/GenAI-3
This repository is my platform to learn, experiment, and innovate with LLMs. Here I try to dive in and discover diverse applications, research experiments, and projects fueled by the power of language models.
RATHOD-SHUBHAM/RATHOD-SHUBHAM
RATHOD-SHUBHAM/DeepLearning
Deep learning is a class of machine learning algorithms that  uses multiple layers to progressively extract higher-level features from the raw input.
RATHOD-SHUBHAM/AWS
AWS SDK for Python (Boto3) to create, configure, and manage AWS services
RATHOD-SHUBHAM/AWS-Bedrock
Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) via a single API, along with a broad set of capabilities we need to build generative AI applications with security, privacy, and responsible AI.
RATHOD-SHUBHAM/Basic_Python
This repository serves as a template for Python projects, providing a structure and examples to kickstart my development process
RATHOD-SHUBHAM/CLIP-Classifier
CLIP is a multi-modal, zero-shot open-source paradigm. Without optimizing for a specific purpose, given a picture and text descriptions, the model can predict the best suitable text description for that image.
RATHOD-SHUBHAM/Cpp
From basics to building complex projects
RATHOD-SHUBHAM/DataScience_Textbooks
RATHOD-SHUBHAM/Ergnomy_PoseEstimation
Pose Estimation is a computer vision task where the goal is to detect the position and orientation of a person or an object.
RATHOD-SHUBHAM/FastAPI
Welcome to the world of FastAPI, a sleek and high-performance web framework for constructing Python APIs.
RATHOD-SHUBHAM/Finetuning-LLMs
This repository contains experiments on fine-tuning LLMs (Llama, Llama3.1, Gemma). It includes notebooks for model tuning, data preprocessing, and hyperparameter optimization to enhance model performance.
RATHOD-SHUBHAM/GenAI-4-AgenticWorkflows
Exploring graph-based LLMs, multi-agent systems, Neo4j, LangGraph, and Cypher query language. This repo is my sandbox for learning, experimenting, and building graph-powered intelligent agents.
RATHOD-SHUBHAM/LanguageTranslation
This repository contains code for detecting languages and performing translations using machine learning models and natural language processing techniques. The project is implemented in Python using Jupyter notebooks (ipynb), offering an easy-to-follow, step-by-step approach to both language detection and translation.
RATHOD-SHUBHAM/MachineLearning-1
A curated list of my machine learning projects. Machine learning (ML) is the study of computer algorithms that improve automatically through experience and by the use of data. It is seen as a part of artificial intelligence.
RATHOD-SHUBHAM/MachineLearning-2
This repository will contain a comprehensive collection of machine learning algorithms, each with clear and concise implementations of supervised learning, unsupervised learning, or reinforcement learning.
RATHOD-SHUBHAM/ML-Design-Question.
Master the fundamentals of machine learning topics by coding and studying design questions.
RATHOD-SHUBHAM/MYSQL
This repo contains solutions to SQL problems in MYSQL.
RATHOD-SHUBHAM/Natural-Language-Processing
Natural language processing (NLP) is the discipline of building machines that can manipulate human language — or data that resembles human language — in the way that it is written, spoken, and organized
RATHOD-SHUBHAM/Netflix-Clone
Built and Developed Netflix Clone using React JS, Redux, JS, CSS. Scroll across and click on your favorite show to watch its Trailer.
RATHOD-SHUBHAM/NeuralNetwork
Neural networks, also known as artificial neural networks (ANNs) or simulated neural networks (SNNs), are a subset of machine learning and are at the heart of deep learning algorithms.
RATHOD-SHUBHAM/NVIDIA-Audio2Face
OmniAvatar combines NVIDIA Omniverse Audio2Face and LLMs to create avatars that interact with lifelike expression and context-aware responses, making virtual communication more immersive and dynamic in real-time.
RATHOD-SHUBHAM/Python-Projects
Python is a general-purpose, versatile, and powerful programming language. Here is a curated list of programs written in my absolute favorite programming language.
RATHOD-SHUBHAM/Roboflow_ModelDeployment
Deploy a secure, infinitely-scalable API for use in our workflow, accompanied by SDKs for use in working with common deployment devices.
RATHOD-SHUBHAM/Yolo-NAS-2
About YOLO_NAS is an architecture for object detection that automatically searches for optimal neural network structures, while Segment Anything Model is a versatile model for segmenting various objects in images.
RATHOD-SHUBHAM/Yolov8_OD
Ultralytics YOLOv8 is a cutting-edge, state-of-the-art (SOTA) model. YOLOv8 is designed to be fast, accurate, and easy to use, making it an excellent choice for a wide range of object detection and tracking, instance segmentation, image classification and pose estimation tasks.