Bhargav Patel

This repository contains a curated collection of 300+ case studies from over 80 companies, detailing practical applications and insights into machine learning (ML) system design. The contents are organized to help you easily find relevant case studies based on industry or specific ML use cases.

A curated table of 300+ real-world machine learning case studies from companies like Netflix, Airbnb, and Stripe, showing how ML systems are actually built and deployed in production.

Reproduce results of the research article "Deep Reinforcement Learning Based Resource Allocation for V2V Communications"

This repository contains a curated collection of 500+ Machine Learing Projects with code, detailing practical applications and insights into machine learning (ML) implimentation. The contents are organized to help you easily find relevant projects based on topics or specific ML algorithms.

A comprehensive, categorized collection of hundreds of research papers and surveys in Machine Learning and Natural Language Processing. This repository organizes papers by topics with direct links for easy access. Continuously updated to help researchers, students, and practitioners quickly find relevant literature across the ML landscape.

A comprehensive, categorized collection of hundreds of research papers and surveys in Large Language Models. This repository organizes papers by topics with direct links for easy access. Continuously updated to help researchers, students, and practitioners quickly find relevant literature across the LLM landscape.

Solutions of cracking coding interview book

A demo of dockarized TFX pipeline for Image Classification

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This repository contains all the technical resources, code samples, and project files referenced in the blog series.

GitHub Portfolio

:sunglasses: A curated list of awesome MLOps tools

Quarantine Project

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Objective of this project is to decreases response time of the app by preloading the app before user select a it.

Achieved 96.7% classification accuracy using transfer learning approach with VGG16 pre-trained model. We utilized Gradient based Class Activation Maps (GradCAM) to provide transparency for the decision taken by CNN classifier.

DL based approach for 4x image compression and retrieval with minimum loss

A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows

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A list of AI autonomous agents

A curated list of references for MLOps

I have created an application that would allow the user to create a sales database and use SQL (Structured Query Language) like commands to fetch records from the database. Provide appropriate menu that will allow the user to create or use a database by specifying the database name (here the database name can be used to refer to a folder in which the files are stored).

Every front-end GUI client for ChatGPT

This repository contains best profile readme's for your reference.

A highly customizable and improved version of Carmine Spagnuolo's Twenty Seconds Curriculum Vitae.

Reinforcement Learning Example

FinRL: Financial Reinforcement Learning Framework. Please star. 🔥

Latex code for making neural networks diagrams

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Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

"AI-Researcher: Fully-Automated Scientific Discovery with LLM Agents" & "Open-Sourced Alternative to Google AI Co-Scientist"

This is my attempt to reproduce and extend the results in the paper "An Introduction to Deep Learning for the Physical Layer" by Tim O'Shea and Jakob Hoydis

Powersave features for SAMD boards

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Cracking the Coding Interview 6th Ed. Python Solutions

Here is matlab Program to find eigenvalue and eigenvector of small symmetric matrix.

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A Deep Denoising Autoencoder for Time Dependent Signals

Denoising images with a Deep Convolutional Autoencoder - Implemented in Keras

I have use Convolutional Neural Network to make a classification model for Fashion MNIST data set. After 200 epoch model has achieved 96.9% of validation Accuracy.

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

Realtime face detection and recognition on video streams. Uses Inception-ResNet-v1 as Encoder, trained using Triplet Loss.

Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.

Real-time microphone noise suppression on Linux.

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Quarantine Project

PaSa -- an advanced paper search agent powered by large language models. It can autonomously make a series of decisions, including invoking search tools, reading papers, and selecting relevant references, to ultimately obtain comprehensive and accurate results for complex scholarly queries.

Repo for OpenAI Bootcamp

It is said that, Ilya Sutskever gave John Carmack this reading list of ~ 30 research papers on deep learning.

A one-day event talks website.

Focus on prompting and generating

Portfolio website

An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the simplest implementation of a deep research agent - e.g. an agent that can refine its research direction overtime and deep dive into a topic.

Open source alternative to Gemini Deep Research. Generate reports with AI based on search results.

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Object Tracker written in Python using dlib and OpenCV

All notes and materials for the CS229: Machine Learning course by Stanford University

Just some web development practice

testing the branch code

Document templates for open-source projects (README, CONTRIBUTING, GitHub templates)

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Various examples for TensorFlow Extended using Apache Beam and Airflow to create End2End Pipelines for Machine Learning.

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An Open Source Machine Learning Framework for Everyone

LeetCode

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TensorFlow examples

firmata firmware for arduino

Image Deblurring using Generative Adversarial Networks

Deep Multi-scale CNN for Dynamic Scene Deblurring

Deep learning for audio denoising

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A SigMF namespace extension for the National Telecommunications and Information Administration (NTIA).

Its temporary repo

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:necktie: A collection of cv and resume templates written in LaTeX. Leave an issue if your language is not supported!

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Inverse distance weighting is a type of deterministic method for multivariate interpolation with a known scattered set of points. The assigned values to unknown points are calculated with a weighted average of the values available at the known points.

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Image noise reduction using auto encoder

Statistic datasets and experiments

This mobile application is useful to monitor the dynamic pollution sources integrated with google map API.

Quantum Machine Learning Reading Group @ ICFO

Servo Library for Arduino

We are building an open database of COVID-19 cases with chest X-ray or CT images.

COVID-Net model for COVID-19 detection on COVIDx dataset

This is a repository containing basic flutter application UI.

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Helper library for MKRFox1200 board and ATAB8520E Sigfox module

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Stepper Library for Arduino

ArduinoBLE library for Arduino

Liquid Crystal Library for Arduino

Arduino @ Google Summer of Code