Ayush Khanal

Ayush Khanal

@Code-With-Samuel

AI Enthusiast

Incessant Rain Studios Kathmandu, Nepal
6
Followers
8
Following
27
Public Repos
0
Private Repos

Language Breakdown

Lines of code distribution across 23 owned repositories

61.1M Total LOC
Jupyter Notebook
60,819,351 lines
99.6%
N/A
Python
222,986 lines
0.4%
N/A
HTML
27,880 lines
0.0%
N/A
PowerShell
9,033 lines
0.0%
N/A
CSS
7,762 lines
0.0%
N/A
Other
5,849 lines
0.0%
N/A
I

I-Shaped Developer

I-shaped

Specialist — deep expertise in Jupyter Notebook

Jupyter Notebook
Python
HTML
PowerShell
CSS

Collaboration Network

Global Impact visualization

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Ayush Khanal
0 active collaborators

Repos

28

PRs

0

Growth

+18%

Top Collaborators

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Coding Streak

Contribution activity over the past year

1 day
366
Contributions
105
Commits
0
Pull Requests
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Top Repositories

NLP-Text-Preprocessing

This project fetches "Top-Rated Movies from TMDb (The Movie Database) API", collects their metadata including Movie Title, Description (overview), Genres . The descriptions are cleaned and preprocessed for downstream analysis, NLP tasks or recommendation system projects. The final dataset is stored as a CSV file with preprocessed descriptions.

1 0
Python
Car_Price_Predictor

A machine learning web application that predicts the price of used cars based on various features

0 0
Jupyter Notebook
yt-live-crash-course
0 0
Jupyter Notebook
LoRA_with_BERT
0 0
Jupyter Notebook
Supervised_FineTuning

This repository contains a minimal example for fine-tuning bert-base-uncased on the IMDB sentiment dataset using Hugging Face Transformers and datasets.

0 0
Jupyter Notebook
FineTuning_DistilBert

Fine-tuning DistilBERT for sentiment analysis on the Yelp Polarity dataset. This project demonstrates a complete machine learning workflow for text classification using the Hugging Face Transformers library.

0 0
Jupyter Notebook
openclaw

Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞

0 0
TypeScript
Movie-Recommendation-System

A content-based movie recommendation system built with Python, Streamlit, and machine learning techniques. The system recommends movies based on similarity scores calculated from movie metadata such as genres, keywords, cast and crew.

0 0
Jupyter Notebook
general_chatbot

A professional, production-ready chatbot that runs completely locally on your PC using open-source AI models.

0 0
Python
youtube_chatbot

An intelligent chatbot system that extracts YouTube video transcripts and answers questions about them using RAG (Retrieval-Augmented Generation) and embeddings.

0 0
Python

Open Source Impact

Contributions to external projects

0 merged PRs

No external contributions found.