Raghvender (Raghvender1205)

Raghvender1205

Geek Repo

Company:ARKit Dev | HealthKart

Location:Chandigarh, India

Home Page:https://www.linkedin.com/in/raghvender-changotra/

Twitter:@RaghvenderChan1

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Raghvender's repositories

AI_From_Scratch

Into the depths of some concepts of Artificial Intelligence and Machine Learning

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QuantizationResearch

This focuses solely on the Quantization techniques, theory, implementations for ViT and CNN models.

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GhostNet

Understanding and implementing the GhostNet architecture from CVPR 2020.

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ObjectDetectionCoreMLYolo

Object Detection with CoreML for Yolo models.

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PotholeDetection

A Web based implementation of Pothole Detection using Deep Learning

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PyTorch-Manual

Deep Description and Understanding of the PyTorch Framework

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SAM

Segment Anything Model (SAM) from Meta AI for Segmentation across Video, Image etc.

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tinygrad

You like pytorch? You like micrograd? You love tinygrad! ❤️

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ColorBlind-Extension

HCI Project on Accessibility to Color Blind Users

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ConvNeXt-V2

Code release for ConvNeXt V2 model

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examples

Community showcase and examples of Actix ecosystem usage.

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GuidedCapture

Sample code of Scanning objects using Object Capture

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HEICImageAPI

HEIC Image API to recieve HEIC and other format images

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ImageServer

A simple Go server for Images

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llama3

The official Meta Llama 3 GitHub site

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nextjs-prisma-plsql-s3

A full stack project using NextJS, PostgresSQL, Prisma, AWS S3 and OAuth

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Open-Assistant

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

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pykan

Kolmogorov Arnold Networks

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QStash-App

A sample NextJS app with QStash API

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RAG

Retrieval Augmented Generation for LLMs

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ViTxCNN-on-IoT

This is a repository which contains all my research on Quantization, Pruning and other Optimization techniques for VIT

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WebStreamer

A docker, Flask based RTSP based webstreamer using Webcam setup on WSL2.

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Whisper-VideoCaptioning

A Summary of the OpenAI Whisper Model and its usage in Video Captioining with a demo

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yolov9

Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

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