Desh Iyer (0xVolt)

0xVolt

Geek Repo

Company:KEK

Location:Tsukuba, Japan

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Desh Iyer's repositories

cemetery-of-culture

A repository that houses all of the code I write over the course of my four years as a computer science engineering undergrad.

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:2Issues:1Issues:0

fraud-detection

This minor project in machine learning deals with fraud detection of credit card details. It's got exploratory data analysis and data visualisation.

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:1Issues:1Issues:0

splice-and-dice

Modularizing Multi-Source Text Summarization with Transformer-based Deep Learning and NLP techniques in a Web Application

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:1Issues:2Issues:0

0xVolt

GitHub profile hosted with pages.

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accidental-parser

This is an incomplete-parser for Python that I wrote from scratch. Reluctant to find a place for it.

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art-of-machine-learning

A repository to document the ideal approach to a machine learning problem.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:0Issues:1Issues:0

bayesian-rhapsody

A repository to design a deep neural network to compose music. Part of the 2023 IBM summer internship.

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competitive-programming

Generic binder of competitive programming practice.

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create-deep-learning-environments

A repository that documents the right way to create virtual environments and link them to Jupyter kernels for deep learning projects.

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DNASCANNER

An all-in-one tool that effectively performs text analysis on DNA sequences.

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dotfiles

Find the config files for my Linux environment here, if you're into that.

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filter-coffee

A project to implement digital filters in C++ using a variety of data structures for increased efficiency.

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comp-code

Competitive coding repository!

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dsa-prep

Practice code for data structures and algorithms in C++

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fine-tune-t5

A repository that takes a pre-trained T5 model from HuggingFace and fine-tunes it on a dataset of laballed newspaper articles for document classification.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:0Issues:1Issues:0

fir-simd

An exploration into an efficient FIR filter implementation with single-instruction, multiple data in C++. Inspired by Jan Wilczek's work.

Language:C++License:LGPL-2.1Stargazers:0Issues:0Issues:0

flashcall-interview-task

Create a sign-in page for users and save user details and preferences in a DB

Language:JavaScriptLicense:Apache-2.0Stargazers:0Issues:0Issues:0

install-llama-cpp

A repository with information on how to get llama-cpp setup with GPU acceleration.

License:Apache-2.0Stargazers:0Issues:1Issues:0

learn-langchain

A repository to explore the LangChain to create custom applications backed by LLMs.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:0Issues:1Issues:0

learn-next.js

A repository to document learning Next.js, one of the most popular front-end frameworks in JavaScript to build user-interfaces.

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learn-pytest

A repository to document my process of learning pytest for code unit testing

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learn-pytorch

A repository to learn the building blocks of deep learning with the PyTorch deep learning framework.

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learn-rust

An introduction to a shiny new language named Rust.

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learn-tensorflow

A repository to document learning Tensorflow, Google's end-to-end deep learning framework.

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llama-gpu-chain

Using LangChain to create a GPU powered instance of a LLaMa model.

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mamba-time

Building a Mamba model from scratch with PyTorch

Language:Jupyter NotebookLicense:MITStargazers:0Issues:0Issues:0

NLP-class-notebooks

A repository of notebooks from the IIIrd year's NLP Hons. course.

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telecom-churn-rate-analysis

This repository contains analysis of the Telecom Churn Dataset, exploring customer behavior patterns and predicting churn using machine learning techniques.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:0Issues:1Issues:0

toxicity-detector-model

A deep neural network model that detects toxic comments through multi-binary classification hosted on a Gradio application.

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train-and-save

A repository that documents how a model is trained in one notebook and it's weights exported and loaded into another notebook with Pytorch. The example is a BERT model for document classification.

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