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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
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👨💻 I’m a Research Assistant at the AI Research Center, ACEM, Tribhuvan University. 🔬 My research focuses on applying AI to environmental monitoring, with interests in Computer Vision, Tabular Deep Learning, and more recently, Large Language Models (LLMs). 🧠 I’m currently working on LLMs and Tabular Deep Learning in collaboration... Read more
A variety of common markup showing how the theme styles them. Header one Header two Header three Header four Header five Header six Blockquotes Single line blockquote: Quotes are cool. Tables Entry Item John Doe 2016 Description of the item in the list Jane Doe 2019 Description of the... Read more
Deutsch Book Notes The StatQuest Illustrated Guide to Machine Learning!!! 5 minute read Published: June 09, 2025 Author: Josh Starmer, Ph.D. Book Amazon link: https://www.amazon.com/dp/B0BLM4TLPY Youtube link: https://www.youtube.com/@statquest Chapter 1 : Fundamental Concepts of ML What is Machine Learning (ML)? According to the author, ML is a collection of tools... Read more
<h2 id="portfolio" class="archive__subtitle">portfolio</h2> Portfolio item number 1 Short description of portfolio item number 1 Read more Portfolio item number 2 Short description of portfolio item number 2 Read more <h2 id="publications" class="archive__subtitle">publications</h2> Leveraging UAV Data and Deep Learning Models for Detecting Waste in Rivers Published in IEEE Access, 2025 This... Read more
Your Sidebar Name none@example.org https://academicpages.github.io Earth, , US Google Scholar ORCID GitHub Summary Currently employed at Red Brick University. Short biography for the left-hand sidebar Education Ph.D in Version Control Theory 2018 GitHub University M.S. in Jekyll 2014 GitHub University B.S. in GitHub 2012 GitHub University Publications Paper Title Number... Read more
Education Bachelor’s in Electronics, Communication, and Information Engineering, Advanced College of Engineering and Management, Tribhuvan University, 2025 Work experience Research Assistant Research and Innovation Unit (RIU) in collaboration with BASF, Germany. July 2024 - Present Research and Teaching Assistant AI Research Center, Advanced College of Engineering and Management November 2023... Read more
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Locations of key files/directories Basic config options: _config.yml Top navigation bar config: _data/navigation.yml Single pages: _pages/ Collections of pages are .md or .html files in: _publications/ _portfolio/ _posts/ _teaching/ _talks/ Footer: _includes/footer.html Static files (like PDFs): /files/ Profile image (can set in _config.yml): images/profile.png Tips and hints Name a file... Read more
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Page Not Found Sorry, but the page you were trying to view does not exist. Read more 👋 Hi there, I'm Bishnu! 👨💻 I’m a Research Assistant at the AI Research Center, ACEM, Tribhuvan University. 🔬 My research focuses on applying AI to environmental monitoring, with interests in Computer Vision,... Read more
Portfolio item number 1 Short description of portfolio item number 1 Read more Portfolio item number 2 Short description of portfolio item number 2 Read more Read more
You can also find my articles on my Google Scholar profile. <h2>Journal Articles</h2><hr /> Leveraging UAV Data and Deep Learning Models for Detecting Waste in Rivers Published in IEEE Access, 2025 This study presents the first comparative analysis of object detection and segmentation models for automated riverine waste detection in... Read more
Advanced Search 🔍 × Advanced Filters ▼ Search In: All Content Title Only Tags Only Content Only Category Only Sort By: Relevance Date (Newest) Date (Oldest) Title A-Z Date Range: Categories: Book Notes (1) Business (1) Deutsch (16) GPU (1) German (15) German, Deutsch (12) LLM (2) LeetCode (2) ML... Read more
{% include base_path %} A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well. Pages {% for post in site.pages %} {% include archive-single.html %} {% endfor %} Posts {% for post in... Read more
{% include base_path %} {% include group-by-array collection=site.posts field=”tags” %} {% for tag in group_names %} {% assign posts = group_items[forloop.index0] %} {{ tag }} {% for post in posts %} {% include archive-single.html %} {% endfor %} {% endfor %} Read more
This map is generated from a Jupyter Notebook file in talkmap.ipynb, which mines the location fields in the .md files in _talks/. Read more
{% if site.talkmap_link == true %} See a map of all the places I've given a talk! {% endif %} {% for post in site.talks reversed %} {% include archive-single-talk.html %} {% endfor %} Read more
{% include base_path %} {% for post in site.teaching reversed %} {% include archive-single.html %} {% endfor %} Read more
{% include base_path %} {% include toc %} Privacy Policy The privacy of my visitors is extremely important. This Privacy Policy outlines the types of personal information that is received and collected and how it is used. First and foremost, I will never share your email address or any other... Read more
{% include base_path %} Expand All Collapse All Search Results {% include featured-posts.html %} All Posts by Year {% capture written_year %}'None'{% endcapture %} {% for post in site.posts %} {% capture year %}{{ post.date | date: '%Y' }}{% endcapture %} {% if year != written_year %} {{ year }}... Read more
@import “jekyll-theme-primer”; Read more
{“/about/”:”https://bishnukhadka.github.io/”,”/about.html”:”https://bishnukhadka.github.io/”,”/resume-json”:”https://bishnukhadka.github.io/cv-json/”,”/resume”:”https://bishnukhadka.github.io/cv/”,”/md/”:”https://bishnukhadka.github.io/markdown/”,”/markdown.html”:”https://bishnukhadka.github.io/markdown/”,”/nmp/”:”https://bishnukhadka.github.io/non-menu-page/”,”/nmp.html”:”https://bishnukhadka.github.io/non-menu-page/”,”/wordpress/blog-posts/”:”https://bishnukhadka.github.io/year-archive/”,”/blog-explorer/”:”https://bishnukhadka.github.io/year-archive/”} Read more
Featured Posts Configuration Guide How to Mark Posts as Featured To mark any blog post as featured, simply add featured: true to the front matter: --- title: "Your Post Title" date: 2025-01-01 featured: true summary: "A brief description of your post content that will appear in the blog archive." category:... Read more
Jupyter notebook markdown generator These .ipynb files are Jupyter notebook files that convert a TSV containing structured data about talks (talks.tsv) or presentations (presentations.tsv) into individual markdown files that will be properly formatted for the academicpages template. The notebooks contain a lot of documentation about the process. The .py files... Read more
<?xml version=”1.0” encoding=”utf-8”?>{% if page.xsl %}<?xml-stylesheet type=”text/xml” href=”{{ ‘/feed.xslt.xml’ absolute_url }}”?>{% endif %}<feed xmlns=”http://www.w3.org/2005/Atom” {% if site.lang %}xml:lang=”{{ site.lang }}”{% endif %}>Jekyll<link href=”{{ page.url absolute_url }}” rel=”self” type=”application/atom+xml” /><link href=”{{ ‘/’ absolute_url }}” rel=”alternate” type=”text/html” {% if site.lang %}hreflang=”{{ site.lang }}” {% endif %}/>{{ site.time date_to_xmlschema }}</updated>{{ page.url absolute_url xml_escape... Read more
<?xml version=”1.0” encoding=”UTF-8”?> {% if page.xsl %}<?xml-stylesheet type=”text/xsl” href=”{{ “/sitemap.xsl” | absolute_url }}”?> {% endif %} {% assign collections = site.collections | where_exp:'collection','collection.output != false' %}{% for collection in collections %}{% assign docs = collection.docs | where_exp:'doc','doc.sitemap != false' %}{% for doc in docs %} {{ doc.url | replace:'/index.html','/' |... Read more
Sitemap: {{ “sitemap.xml” absolute_url }} Read more
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Master 10 essential German time and frequency combinations that native speakers use daily. Learn formal vs. informal usage, plus bonus comparative patterns. Read more
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Learn how to practice German by yourself using sentence transformation techniques. Master word order, tenses, and modal verbs through progressive complexity building. Read more
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When it comes to language learning, focusing on phrases and sentences rather than isolated words can make a significant difference. While memorizing vocabulary lists might seem like a straightforward approach, it often leaves learners struggling to use those words in real-life situations. Words alone rarely convey complete meaning; context is...
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Learn German adverbs: types, formation, placement, and usage. Essential words for describing how, when, where, and why actions happen. Read more
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Learn German personal pronouns in all cases: Nominativ, Akkusativ, and Dativ. Essential pronouns for replacing nouns and building fluent sentences. Read more
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Learn the German Dative case: indirect objects, articles, prepositions, Wechselpräpositionen, and Dativ verbs. Essential for German grammar mastery. Read more
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This lesson covers the German equivalents of ‘when’ and ‘if’ in English, which are common trouble areas for German learners, especially English speakers. Read more
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Learn German separable and inseparable verbs: prefixes, word order, and usage patterns. Essential for understanding German sentence structure. Read more
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Learn German modal verbs: können, müssen, wollen, sollen, dürfen, mögen, and möchten. Essential verbs for expressing ability, necessity, and desire. Read more
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Learn the German Accusative case: direct objects, articles, pronouns, and when to use Akkusativ. Essential grammar for German sentence structure. Read more
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Learn time expressions in German: telling time, days of the week, months, seasons, and useful time phrases for daily conversation. Read more
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Learn how to ask questions in German: yes/no questions, W-questions, and question formation rules. Essential for German conversation. Read more
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Learn German verb conjugations and how verbs change according to the subject. Essential foundation for German sentence structure. Read more
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📘 MASTER PLAN: German Compound Noun Vocabulary Expansion 🔶 PHASE 1: Master the Most Useful Base Nouns (Top 50) These are the “root” or “core” nouns you will see in countless combinations. Noun Meaning Article Example Compound | # | Noun | Meaning | Article | Example Compound | |...
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Learn how to use possessive articles (my, your, his, her, etc.) in the nominative case in German. Essential grammar for expressing ownership and relationships. Read more
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Nominative pronouns are personal pronouns that replace the subject in a sentence. They show who or what is doing something, e.g., I am tired. Deutsch: Pronomen im Nominativ sind Personalpronomen, die das Subjekt im Satz ersetzen. Sie zeigen, wer oder was etwas tut, z. B. Ich bin müde. Singular Plural...
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The structure for Yes/No question (Ja/Nein Frage) in Deutsch is as follows: ` Verb (konjugiert) + Subjekt + Rest` For Example: Deutsch Englisch Bist du müde? Are you tired? Hast du ein Buch? Do you have a book? Kommt er aus Spanien? Does he come from Spain? Geht sie zur...
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German/Deutsch is divided into different cases such that it would be easier to build on the language slowly but surely. It adds different parts required for fluency–or at least be able to make some sentences. The cases are as follows: Nominative: subject of a sentence and with nominative verbs (sein,...
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Wie heißen Sie? (Formall) / Wie heißt du? (Informall) Ich heiße Bishnu. Wie ist ihr Familienname? (Formall) / Wie ist dein Familienname? (Informall) Mein Familienname ist Khadka. Woher kommen sie? (Formall) / Woher kommst du? (Informall) Ich komme aus Nepal. Wo Wohnen sie? (Formall) / Wo wohnst du? (Informall) Ich...
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This blog post provides beginner-friendly (A1 level) German vocabulary and example sentences grouped by common topics such as travel, family, health, media, and everyday life. Each section includes color-coded tables for key nouns and practical sentences with English translations, helping learners build essential language skills for real-life situations. Read more
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Nomen Noun is called Nomen in German and it is always written with it’s first letter capital. This might not be intuitive for an English speaker but it is the rule. Also, in most of the case written with artikel. The artikel depends on the case if it is Nominative,...
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(INTRODUCTION) Name Ich heiße Bishnu. Ich bin Bishnu. Mein Name ist Khadka Bishnu. First and Last Name Mein Familienname ist Khadka. Mein Vorname ist Bishnu. Mein Nachname ist Khadka. Land/Lände (Where are you from?) Ich komme aus Nepal. Ich wohne in Budhanilkantha, Kathmandu. Sprache/Sprachen Ich spreche Nepalesisch, Englisch, und Deutsch....
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In Deutsh, there are two ways of talking. Formal (formell) Informal (informell) 😁 Positive formell (Formal) informell (Informal) Wie geht es Ihnen? Mir geht es ________. gut sher gut super wunderbar ausgezeichnet toll prima Wie geht es dir? Mir geht es ________. gut sehr gut super wunderbar ausgezeichnet toll prima...
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Common Phrases Danke - Thanks Danke Schön - Thank you so much Vielen Dank - Thank you very much Bitte - Please Entschuldigung - Excuse me Entschuldigen sie - Excuse me Es tut mir leid - I am sorry noch einmal bitte - once again please einen moment bitte -...
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Die Zahlen 0 to 12 in Deutsch 0 = null 1 = eins 2 = zwei 3 = drie 4 = vier 5 = fünf 6 = sechs 7 = sieben 8 = acht 9 = neun 10 = zehn 11 = elf 12 = zwölf 13-19 in Deutsch 13...
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German Alphabet with Nepali Pronunciation German Letter Nepali उच्चारण (Pronunciation) a आ (ā) b बे (be) c च्से (tse) d डे (ḍe) e ए (e) f एफ (ef) g गे (ge) h हाह (hāh) i ई (ī) j यट् (yaṭ) k का (kā) l एल (el) m एम (em) n...
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Time of the day greetings Guten Morgen (Good Morning) 🌄 Guten Tag (Good Afternoon) ☀️ Guten Abend (Good Evening) 🌆 Gute Nacht (Good Night) 🌙 Others Tschüß/Ciao (bye) 👋 bis morgen (see you tomorrow) Auf wiedershen (see you again, but said to someone you often meet) Auf wiederhören (see you...
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5.2.2. Regression Metrics Regression refers to a predictive modeling problem that involves predicting a continuous (numeric) value rather than a class label. It is fundamentally different from classification tasks, which involve discrete labels or categories. Regression models are common in real-world tasks such as: Estimating prices (houses, cars, electronics) Predicting...
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This paper presents GPTopic, a novel approach combining embeddings, dimensionality reduction, clustering, and LLMs for dynamic and interactive topic modeling with ChatGPT integration. Read more
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Book: Amazon link Chapter 4: RAG Feature Pipeline Retrieval-augmented generation (RAG) Feature Pipeline: Qdrant vector DB for online serving and ZenML artifacts for offline training. Naive RAG Chunking Embedding Vector DBs Chapter teaches you what RAG is and how to implement it. The main sections of this chapter are: Understanding...
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To improve the retrieval of the RAG system, you usually need to fine-tune the pre-trained LLM. However, it can also be done by using Instructor models. https://huggingface.co/hkunlp/instructor-xl
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References: Triton In a typical machine learning(ML) work flow, we program the feature production, training, and inference. We do that mostly using frameworks to write high-level program and not have to manage the low level details required for ML or deep learning (DL). The pytorch or tensorflow (frameworks) calls the...
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Resources: Video: Dynamic Arrays Link: The Simple and Elegant Idea behind Efficient Dynamic Arrays Link: What if you had to invent a dynamic array? Dynamic Array should be able to change the shape of the array dynamically. should be able to add/delete element fast should be able to insert/delete a...
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Prerequisites: Dynamic Arrays Hash Usage Hash Implementation Prefix Sums
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Book: Amazon link Notes An LLM engineer should have the knowledge in the following: Data preparation Fine-tune LLM Inference Optimization Product Deployment (MLOps) What the book will teach: Data Engineering Supervised Fine-tuning Model Evaluation Inference Optimization RAG For every project there must be planning. And the three planning steps the...
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My notes from an excellent YouTube video covering key business concepts taught at Stanford Business School, condensed into 28 minutes of actionable insights. Read more
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Authors: SHRIYANK SOMVANSHI, SUBASISH DAS, SYED AAQIB JAVED,GIAN ANTARIKSA, AHMED HOSSAIN Link: https://arxiv.org/pdf/2410.12034 code: My initial thoughts and what I would like to get out of this? Can DL methods outperform Decision Tree based models on tabular data? What is the common reason between different models which works well for...
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A comprehensive guide to hyperparameter tuning in data science, covering Optuna and other optimization techniques for improving machine learning model performance. Read more
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Author: Josh Starmer, Ph.D. Book Amazon link: https://www.amazon.com/dp/B0BLM4TLPY Youtube link: https://www.youtube.com/@statquest Chapter 1 : Fundamental Concepts of ML What is Machine Learning (ML)? According to the author, ML is a collection of tools and techniques that transforms data into decisions. Basically, ML is about 2 things: Classifying things (Classification) and...
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Authors: Léo Grinsztajn, Edouard Oyallon, Gaël Varoquaux Link: https://arxiv.org/pdf/2207.08815 code: https://github.com/LeoGrin/tabular-benchmark My initial thoughts and what I would like to get out of this? What makes it difficult for learning tabular-data for deep-learning algorithms or even Neural Networks? What is the correct way for benchmarking? Notes on the paper There...
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This article introduces the TabR model, a retrieval-augmented model designed for tabular data. It is part of a series on tabular deep learning using the Mambular library. Read more
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Ask yourself if the following three statement are true for you or not? I fantasize more than I act. I consume ten times more than I produce. I constantly delay Day#1. If any two of the three are true for you, then you are indeed Lazy but Ambitious. Now, we...
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People want to be rich. They want to have a comfortable living. A bountiful life. They want cars, houses, land, boats, yachts, and much more. They want to be successful. They want to be praised for their excellent work. They want to be recognized, appreciated for their work. They want...
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Master the formation of German past participles (Partizip Perfekt) for regular and irregular verbs with clear rules and examples. Read more
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We do not learn from experience. We learn from reflecting on those experiences. -John Dewey Learning is defined as the modification in behavior through experience. So if you approach the same problem differently from your previous attempt, then we can say you have learned something. This is why the quote...
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Will mini-essays make me a better research paper author? Will it make me a better thinker? Will it make me a better person? These are all questions that I want to find the answer to. May be we will find out in a few year. A deeper understanding of your...
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If you think positive, positive things happen to you and if you think negative, negative things happen to you. This is the law of attraction. But is it always possible to stay positive? Is it possible to think positively when everything around you is going wrong? When you try your...
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Published in IEEE Access, 2025
This study presents the first comparative analysis of object detection and segmentation models for automated riverine waste detection in Nepal using UAV imagery, demonstrating that fine-tuned DeepLabv3+ models outperform others and that transfer learning effectively enhances cross-river model generalization. Read more
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This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post. Read more
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post. Read more