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couder-04/README.md
โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•—  โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•— โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•— โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•—โ–ˆโ–ˆโ•—  โ–ˆโ–ˆโ•—    โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•— โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•— โ–ˆโ–ˆโ–ˆโ•—   โ–ˆโ–ˆโ–ˆโ•— โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•— โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•—
โ–ˆโ–ˆโ•”โ•โ•โ–ˆโ–ˆโ•—โ–ˆโ–ˆโ•”โ•โ•โ–ˆโ–ˆโ•—โ–ˆโ–ˆโ•”โ•โ•โ–ˆโ–ˆโ•—โ•šโ•โ•โ–ˆโ–ˆโ•”โ•โ•โ•โ–ˆโ–ˆโ•‘  โ–ˆโ–ˆโ•‘    โ•šโ•โ•โ–ˆโ–ˆโ•”โ•โ•โ•โ–ˆโ–ˆโ•”โ•โ•โ•โ–ˆโ–ˆโ•—โ–ˆโ–ˆโ–ˆโ–ˆโ•— โ–ˆโ–ˆโ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ•”โ•โ•โ–ˆโ–ˆโ•—โ–ˆโ–ˆโ•”โ•โ•โ–ˆโ–ˆโ•—
โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•”โ•โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•”โ•   โ–ˆโ–ˆโ•‘   โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•‘       โ–ˆโ–ˆโ•‘   โ–ˆโ–ˆโ•‘   โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ•”โ–ˆโ–ˆโ–ˆโ–ˆโ•”โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•”โ•
โ–ˆโ–ˆโ•”โ•โ•โ•โ• โ–ˆโ–ˆโ•”โ•โ•โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ•”โ•โ•โ–ˆโ–ˆโ•—   โ–ˆโ–ˆโ•‘   โ–ˆโ–ˆโ•”โ•โ•โ–ˆโ–ˆโ•‘       โ–ˆโ–ˆโ•‘   โ–ˆโ–ˆโ•‘   โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ•‘โ•šโ–ˆโ–ˆโ•”โ•โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ•”โ•โ•โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ•”โ•โ•โ–ˆโ–ˆโ•—
โ–ˆโ–ˆโ•‘     โ–ˆโ–ˆโ•‘  โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ•‘  โ–ˆโ–ˆโ•‘   โ–ˆโ–ˆโ•‘   โ–ˆโ–ˆโ•‘  โ–ˆโ–ˆโ•‘       โ–ˆโ–ˆโ•‘   โ•šโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•”โ•โ–ˆโ–ˆโ•‘ โ•šโ•โ• โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ•‘  โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ•‘  โ–ˆโ–ˆโ•‘
โ•šโ•โ•     โ•šโ•โ•  โ•šโ•โ•โ•šโ•โ•  โ•šโ•โ•   โ•šโ•โ•   โ•šโ•โ•  โ•šโ•โ•       โ•šโ•โ•    โ•šโ•โ•โ•โ•โ•โ• โ•šโ•โ•     โ•šโ•โ•โ•šโ•โ•  โ•šโ•โ•โ•šโ•โ•  โ•šโ•โ•

Hi, I'm Parth Tomar ๐Ÿ‘‹

Aspiring ML Engineer & Builder ยท IIT Patna ยท New Delhi, India

LinkedIn Codeforces Gmail Profile Views


๐Ÿง  About Me

parth = {
    "institute"   : "IIT Patna โ€” Computer Science & Engineering",
    "focus"       : ["Machine Learning", "Deep Learning", "NLP", "Computer Vision"],
    "currently"   : "Building multimodal AI systems & exploring CV architectures",
    "goal"        : "Ship intelligent systems that solve real problems",
    "fun_fact"    : "I implemented backprop from scratch in NumPy before touching PyTorch"
}

๐Ÿ—๏ธ Featured Projects

๐Ÿ”ฌ VisionBench

Benchmarking 6 architectures on Cat vs Dog classification

Systematic comparison of Logistic Regression, SVM, Custom CNN, ResNet-34, EfficientNet-B0, and ViT-Base โ€” from pixel vectors to attention patches.

PyTorch ViT ResNet EfficientNet Benchmarking

โญ What I learned: ViT needs far more data than CNNs at this scale

๐Ÿงฎ NeuroSketch

MNIST recognition built from scratch โ€” zero deep learning frameworks

Full training pipeline, experiment tracker, dashboard, and interactive canvas app using only NumPy. Backprop by hand.

NumPy Neural Networks From Scratch Interactive

โญ The project that taught me what autodiff actually does

โšก CortexCPP

A deep learning framework written in C++

Custom tensor runtime, dynamic NN & CNN construction, shape inference, architecture validation, and forward/backward pass โ€” all in C++.

C++ Tensor Runtime Deep Learning Systems

โญ Because understanding frameworks means building one

๐Ÿค– RepoRelic

AI-powered developer intelligence platform

Deeply analyzes GitHub repositories via a multi-stage autonomous pipeline โ€” architecture mapping, code intelligence, and insights.

Python LLM Agentic AI Code Analysis

โญ Think of it as a senior engineer reviewing any repo in seconds

๐ŸŽฌ TranscriptMind

NLP-powered YouTube transcript summarization

Transforms long-form transcripts into context-aware summaries using TextRank, BART, PEGASUS, and T5 โ€” with model comparisons.

NLP BART PEGASUS T5 TextRank

โญ 4 summarization models, 1 clear winner (WORKING)

๐Ÿ‘๏ธ CortexVision

Real-time multimodal scene understanding

Detection + depth estimation + segmentation + tracking + VLM fusion โ€” all in one pipeline for real-time environment comprehension.

Computer Vision Multimodal VLM Real-time

โญ The most complex system I am building so far


๐Ÿ› ๏ธ Tech Stack

Languages

Python C++ JavaScript

ML / DL

PyTorch TensorFlow scikit-learn NumPy OpenCV HuggingFace

Tools & Infra

Git Jupyter Linux Docker


๐Ÿ“Š GitHub Stats


๐Ÿ† GitHub Trophies

trophy


๐Ÿ“ˆ Contribution Activity

Parth's Activity Graph


"The best way to understand a system is to build it from scratch."

Let's connect and build something that matters.

LinkedIn

Pinned Loading

  1. VisionBench VisionBench Public

    Benchmarking Cat vs. Dog classification across 6 architectures โ€” Logistic Regression, SVM, Custom CNN, ResNet-34, EfficientNet-B0, and ViT-Base. From pixel vectors to attention patches.

    Jupyter Notebook 1

  2. SceneSenseAI/CortexVision SceneSenseAI/CortexVision Public

    Persistent world modeling from monocular video โ€” depth fusion, metric scene graphs, object memory, and predictive reasoning

    Jupyter Notebook

  3. NeuroSketch NeuroSketch Public

    End-to-end MNIST digit recognition system built from scratch with NumPy, featuring training pipeline, experiment tracking, dashboard, and interactive canvas app.

    Jupyter Notebook 2

  4. RepoRelic RepoRelic Public

    an AI-powered developer intelligence platform that deeply analyzes repositories through a multi-stage autonomous pipeline

    Python 2

  5. TranscriptMind TranscriptMind Public

    TranscriptMind is an NLP-powered transcript summarization system that transforms long-form YouTube transcripts into concise, context-aware summaries using TextRank, BART, PEGASUS, and T5.

    Jupyter Notebook 1

  6. CortexCPP CortexCPP Public

    A modular deep learning framework in C++ featuring a custom tensor runtime, dynamic neural network and CNN architecture construction, shape inference, architecture validation, model analysis, forwaโ€ฆ

    C++ 1