Bhargav Patel

A-Curated-List-of-ML-System-Design-Case-Studies. 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.

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

A-Curated-List-of-Must-Read-ML-Research-Papers. 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-Curated-List-of-Machine-Learning-Projects-With-Code. 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.

tfx-cv-demo. A demo of dockarized TFX pipeline for Image Classification

LLM-Research-Papers. 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.

Taxi-Demo-MLOps. Jupyter Notebook

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

cracking-the-coding-interview-solutions. Solutions of cracking coding interview book

Anomaly-Detection-in-Time-Series-Data-. Quarantine Project

awesome-mlops-1. :sunglasses: A curated list of awesome MLOps tools

Online-Machine-Learning-for-App-Prediction. Objective of this project is to decreases response time of the app by preloading the app before user select a it.

AI-Labs-2025. Python

Chest-X-ray-classification-with-GradCAM. 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.

Dual-CNN-Autoencoder-based-lossy-image-encoding-and-decoding. DL based approach for 4x image compression and retrieval with minimum loss

2D-Map-Creation-of-Environment-using-Mobile-Robot-. Java

awesome-mlops. A curated list of references for MLOps

awesome-ai-agents. A list of AI autonomous agents

every-chatgpt-gui. Every front-end GUI client for ChatGPT

PlotNeuralNet. Latex code for making neural networks diagrams

awesome-github-profile-readme-templates. This repository contains best profile readme's for your reference.

FinRL. FinRL: Financial Reinforcement Learning Framework. Please star. 🔥

Cart-Pole-balancing-using-Reinforcment-Learning. Reinforcement Learning Example

Sales-Database-with-SQL-like-Syntax-for-Fetching-Records. 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).

denoiser. 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.

LSTM-SPS_Reco. Python

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

NoiseTorch. Real-time microphone noise suppression on Linux.

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

academicpages.github.io. Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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

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

ImageDenoisingAutoencdoer. Denoising images with a Deep Convolutional Autoencoder - Implemented in Keras

semantic-segmentation-ml-pipeline. Jupyter Notebook

CSP520-Computer-Vision. Jupyter Notebook

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

Convolutional-Neural-Network. 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.

Named-Entity-Recognition-using-LSTM. Quarantine Project

CtCI-6th-Edition-Python. Cracking the Coding Interview 6th Ed. Python Solutions

Signal-Denoising-Autoencoder. A Deep Denoising Autoencoder for Time Dependent Signals