Ayush Vatsal (ayush-vatsal)

ayush-vatsal

Geek Repo

Location:India

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Ayush Vatsal's repositories

Car_Prices-A_Prediction_Service

Using web scraped data from one of India's largest car website, Cardekho, building a prediction service with feature, training and inference pipelines.

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CogVLM

a state-of-the-art-level open visual language model | 多模态预训练模型

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llm-foundry-ayush

LLM training code for MosaicML foundation models

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MZI_Mesh

A MZI mesh with reconfigurable phase shifters can can have numerous combinations of the phase shifters' phases for the same set of input and outputs. A python code for a 4X4 MZI mesh returning the minimum cost path for a given input and output combination.

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QML_Maxcut_using_QAOA

Combinatorial optimization using Quantum Approximate Optimization Algorithm(QAOA).

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Ayush863

Config files for my GitHub profile.

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Caption-Studio

Caption-Studio: Unleash the power of cutting-edge language models and image recognition to effortlessly generate captivating captions for your images. Elevate your social media game with expertly crafted, attention-grabbing captions that perfectly complement your visuals.

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Chat-pdf

Grill your documents for answers. They'll give in

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chatbot-RAG

A chatbot using Retrieval Augmented Generation

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Credit-Card-Fraud

An end to end prediction service for flagging credit card fraud.

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Grovers_Search_Algorithm

Unstructured Database search in sub-linear time. Implementation of Grover's Search Algorithm using Qiskit (searching for 4 combinations out of 16).

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Retrograd

Unlocking efficient reverse mode automatic differentiation for seamless gradient computation from scratch with a touch of retro flair.

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Custom-Classifier

AI FOR ALL. Just enter two, three or more words and get your custom classifier based on a award winning model like Resnet or efficientnet. Using data queried from duckduckgo finetuning a model for your needs.

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fastbook

The fastai book, published as Jupyter Notebooks

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Garbage-Classifier

Building a Garbage classifier that classifier trash into 6 categories: Glass, Metal, Cardboard, Paper, Plastic and Trash.

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IBM-QuantumChallenge2021

My solutions to the problems solved during the challenge period.

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langchain

⚡ Building applications with LLMs through composability ⚡

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Linear-Regression-for-not-dummies

Everything Linear Regression captured in one repository. Implementation of Ordinary Least Squares Regression (OLS Regression) from scratch.

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ML-For-Beginners

12 weeks, 24 lessons, classic Machine Learning for all

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PayScan

Scanning Invoices made easy

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react-fundamentals

Material for my React Fundamentals Workshop

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Testing-a-Multiplier-Circuit

Original Authors: Ayush Vatsal (me) and Sukrit Chatterjee. In this project a design is analyzed in RTL level design simulation.

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