SHUBHAM SHANKAR's repositories
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.
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.
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.
Basic_Python
This repository serves as a template for Python projects, providing a structure and examples to kickstart my development process
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.
Data-Science-Interview-Preperation-Resources
Resoruce to help you to prepare for your comming data science interviews
Data-Science-Interview-Questions-Answers
Curated list of data science interview questions and answers
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.
Finetuning-LLM-Tutorial
a friendly neighborhood repository with diverse experiments and adventures in the world of LLMs
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.
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.
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.
ML-Design-Question.
Master the fundamentals of machine learning topics by coding and studying design questions.
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
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.
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.
Quick-Finetuning-LLM-Tutorial
Unlock the potential of finetuning Large Language Models (LLMs). Learn from industry expert, and discover when to apply finetuning, data preparation techniques, and how to effectively train and evaluate LLMs.
Roboflow_ModelDeployment
Deploy a secure, infinitely-scalable API for use in our workflow, accompanied by SDKs for use in working with common deployment devices.
Tutorial-LLM-Finetuning
LLM Finetuning with peft
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.
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.