Model to classify images of my cats.

Faster R-CNN with Tensorflow Object Detection API for Custom Dataset.

Applications of Machine Learning Algorithms.

This project utilizes deep learning methodologies to automate the segmentation of a dataset I curated myself, focusing on firearm-specific features within cartridge case images. By employing multi-class semantic segmentation, it aims to enhance firearm identification systems.

this tool is for image batch process for matchine learning | 此工具用于机器学习的图片批量处理

Contribution for Traffic Sign Detection and Warning System in real time with Custom Dataset & YOLOv8.

🤖 🦆 An example to create a custom dataset for Detectron2 library.

Created to explain how to use DataLoader effectively in PyTorch.

BERT Finetuned with Custom Data for NER (Named Entity Recognition)

Do you want to train a custom convolution neural network with minimal steps and 0 coding efforts. Here is how you can train custom image classification model with minimal steps. Clone this repository and enjoy the model training sipping hot coffee.

Detecting everyday objects using the YOLO v3 network with a custom dataset.

How to Train YOLOv5 on Custom Objects

This repository contains PyTorch implementation of various architectures and some helper functions for data augmentation, custom dataset building etc...

This repo contains a training setup for creating a model that can detect faces and label them as wearing\not wearing masks.

Collection of deep generative model implementations and experiments.

Proof of concept for using TensorFlow.js to disambiguate acronyms.

Developing ChatBot [ open source ]