{"id":26134356,"url":"https://github.com/ChitrangiBhatnagar/deep_learning","last_synced_at":"2025-12-31T00:55:49.535Z","repository":{"id":279914766,"uuid":"940423926","full_name":"kirazoro/deep_learning","owner":"kirazoro","description":"This repository contains multiple deep learning projects covering natural language processing (NLP), computer vision, audio processing, and object detection using TensorFlow/Keras and PyTorch.","archived":false,"fork":false,"pushed_at":"2025-03-09T12:52:22.000Z","size":8,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-09T13:33:07.263Z","etag":null,"topics":["deep","deeplearning","keras-tensorflow","machine-learning","pytorch","tensorflow"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/kirazoro.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2025-02-28T06:34:05.000Z","updated_at":"2025-03-09T12:52:27.000Z","dependencies_parsed_at":"2025-03-01T08:15:26.690Z","dependency_job_id":null,"html_url":"https://github.com/kirazoro/deep_learning","commit_stats":null,"previous_names":["kirazoro/deep_learning"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kirazoro%2Fdeep_learning","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kirazoro%2Fdeep_learning/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kirazoro%2Fdeep_learning/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kirazoro%2Fdeep_learning/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/kirazoro","download_url":"https://codeload.github.com/kirazoro/deep_learning/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":242945837,"owners_count":20210762,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["deep","deeplearning","keras-tensorflow","machine-learning","pytorch","tensorflow"],"created_at":"2025-03-11T00:00:11.620Z","updated_at":"2025-12-31T00:55:49.503Z","avatar_url":"https://github.com/kirazoro.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Deep Learning Projects Repository\n\nWelcome to the **Deep Learning Projects Repository**! This repository contains multiple deep learning projects covering **natural language processing (NLP)**, **computer vision**, **audio processing**, and **object detection** using **TensorFlow/Keras** and **PyTorch**.\n\n## Table of Contents\n\n- [Introduction](#introduction)\n- [Projects](#projects)\n- [Installation](#installation)\n- [Usage](#usage)\n- [Dataset Sources](#dataset-sources)\n- [Contributing](#contributing)\n\n\n## Introduction\n\nThis repository contains various deep learning applications, including **text classification, image classification, object detection, and audio processing**. Each project includes a **Python implementation**, dataset usage, and model training/evaluation.\n\n## Projects\n\n### 1. Fake News Detection (NLP - LSTM)\n- **Task:** Classify news articles as **real or fake** using LSTMs.\n- **Tech Stack:** TensorFlow/Keras, NLP, LSTM.\n- **Dataset:** Fake News dataset (CSV format with text and labels).\n\n### 2. Image-Based Disease Diagnosis (CNN for X-ray Classification)\n- **Task:** Classify chest X-ray images as **normal or pneumonia**.\n- **Tech Stack:** TensorFlow/Keras, CNN, Image Processing.\n- **Dataset:** Chest X-ray dataset (image dataset with binary classification).\n\n### 3. Handwritten Digit Recognition (CNN for MNIST)\n- **Task:** Recognize digits (0-9) from the **MNIST dataset**.\n- **Tech Stack:** TensorFlow/Keras, CNN.\n- **Dataset:** MNIST (28x28 grayscale images).\n\n### 4. Music Genre Classification (CNN for Spectrograms)\n- **Task:** Classify music files into different **genres**.\n- **Tech Stack:** TensorFlow/Keras, CNN, Spectrogram Processing.\n- **Dataset:** GTZAN music dataset (spectrogram images).\n\n### 5. Object Detection for Autonomous Driving (YOLOv5)\n- **Task:** Detect objects in images/videos using **YOLOv5**.\n- **Tech Stack:** PyTorch, YOLOv5.\n- **Dataset:** COCO dataset / Custom dataset.\n\n## Installation\n\n### **Prerequisites**\nEnsure you have the following installed:\n- Python 3.8+\n- TensorFlow/Keras\n- PyTorch (for YOLOv5)\n- OpenCV, Pandas, NumPy\n\n### **Setup**\nClone the repository:\n```sh\n$ git clone https://github.com/your-username/deep-learning-projects.git\n$ cd deep-learning-projects\n```\n\nInstall required dependencies:\n```sh\n$ pip install -r requirements.txt\n```\n\n## Usage\n\nEach project is in its respective folder. Navigate to the folder and run the script.\n\nExample (Run Fake News Detection):\n```sh\n$ cd fake-news-detection\n$ python fake_news_classifier.py\n```\n\n## Dataset Sources\n\n- Fake News Dataset: [Kaggle](https://www.kaggle.com/clmentbisaillon/fake-and-real-news-dataset)\n- Chest X-ray Dataset: [NIH Dataset](https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia)\n- MNIST Handwritten Digits: [TensorFlow Dataset](https://www.tensorflow.org/datasets/catalog/mnist)\n- GTZAN Music Dataset: [Marsyas](http://marsyas.info/downloads/datasets.html)\n- COCO Dataset for Object Detection: [COCO](https://cocodataset.org/)\n\n## Contributing\n\nContributions are welcome! Feel free to fork the repository and submit a pull request.\n\n\n---\n\nHappy Coding! 🚀\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FChitrangiBhatnagar%2Fdeep_learning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FChitrangiBhatnagar%2Fdeep_learning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FChitrangiBhatnagar%2Fdeep_learning/lists"}