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https://github.com/uppulurikalyani/ml-nexus

ML Nexus is an open-source collection of machine learning projects, covering topics like neural networks, computer vision, and NLP. Whether you're a beginner or expert, contribute, collaborate, and grow together in the world of AI. Join us to shape the future of machine learning!
https://github.com/uppulurikalyani/ml-nexus

ann cnn computer-vision gssoc-ext gssoc24 hacktoberfest hacktoberfest-accepted keras-neural-networks keras-tensorflow machine-learning ml-frameworks natural-language-processing neural-networks opencv python pytorch transfer-learning

Last synced: about 4 hours ago
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Host: GitHub
URL: https://github.com/uppulurikalyani/ml-nexus
Owner: UppuluriKalyani
License: mit
Created: 2024-09-14T16:07:32.000Z (2 months ago)
Default Branch: main
Last Pushed: 2024-11-07T16:03:55.000Z (7 days ago)
Last Synced: 2024-11-07T17:20:39.567Z (7 days ago)
Topics: ann, cnn, computer-vision, gssoc-ext, gssoc24, hacktoberfest, hacktoberfest-accepted, keras-neural-networks, keras-tensorflow, machine-learning, ml-frameworks, natural-language-processing, neural-networks, opencv, python, pytorch, transfer-learning
Language: Jupyter Notebook
Homepage: https://ml-nexus.vercel.app/
Size: 2.8 GB
Stars: 63
Watchers: 1
Forks: 119
Open Issues: 72
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- Code of conduct: CODE_OF_CONDUCT.md

Awesome Lists containing this project

README

### Welcome to the ML-NEXUS Zone⚙️⏳

# ML-Nexus

A collection of Machine Learning projects, experiments, and tutorials designed for open-source contribution and collaborative learning.

Join official Discord Channel for discussion

## ML-Nexus

Welcome to ML Nexus, an open-source hub for all things machine learning. This repository houses a diverse collection of projects ranging from beginner-friendly models to advanced AI applications. Whether you're a newcomer or a seasoned expert, you'll find something to contribute to. Dive into the world of neural networks, computer vision, NLP, and more. Join the community, share your ideas, and help shape the future of AI together!

Natural Language Processing (NLP)

Natural Language Processing (NLP)
Projects in this area involve working with text data, such as sentiment analysis, language translation, text summarization, and chatbot development using techniques like tokenization, word embeddings, and transformers.

Computer Vision

Computer Vision
Contributors can explore projects related to image classification, object detection, facial recognition, and image segmentation using tools like OpenCV, convolutional neural networks (CNNs), and transfer learning.

Neural Networks

Neural Networks
Neural networks power most deep learning models. Contributions could include creating models for image classification, regression tasks, sequence prediction, and generative models using frameworks like TensorFlow or PyTorch.

Generative Models

Generative Models
This includes working on projects related to Generative Adversarial Networks (GANs) for image generation, text-to-image models, or style transfer, contributing to fields like art creation and synthetic data generation.

Time Series Analysis

Time Series Analysis
Contributors can work on analyzing temporal data, building models for stock price prediction, climate forecasting, or IoT sensor data analysis using LSTM or GRU networks.

Transfer Learning

Transfer Learning
Explore projects where pre-trained models are fine-tuned for specific tasks, such as custom object detection or domain-specific text classification, reducing the need for extensive training data.

## ⭐ How to get started with open source?

You can refer to the following articles on the basics of Git and Github.

- [Watch this video to get started, if you have no clue about open source](https://youtu.be/SYtPC9tHYyQ)
- [Forking a Repo](https://help.github.com/en/github/getting-started-with-github/fork-a-repo)
- [Cloning a Repo](https://help.github.com/en/desktop/contributing-to-projects/creating-a-pull-request)
- [How to create a Pull Request](https://opensource.com/article/19/7/create-pull-request-github)
- [Getting started with Git and GitHub](https://towardsdatascience.com/getting-started-with-git-and-github-6fcd0f2d4ac6)

## 💥 How to Contribute to ML-Nexus?

- Take a look at the Existing [Issues](https://github.com/UppuluriKalyani/ML-Nexus/issues) or create your own Issues!
- Wait for the Issue to be assigned to you.
- Fork the repository
>click on the uppermost button
- Clone your forked copy of the project.

```
git clone --depth 1 https://github.com//ML-Nexus.git

## Installation 👇

```bash
pip install -r requirements.txt
```
- Have a look at [Contributing Guidelines](https://github.com/UppuluriKalyani/ML-Nexus/blob/master/CONTRIBUTING.md)
- Read the [Code of Conduct](https://github.com/UppuluriKalyani/ML-Nexus/blob/master/CODE_OF_CONDUCT.md)

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## ❤️ Project Admin

_{Uppuluri Kalyani}

👑 Admin

Community and Contributing

Please do! Contributions and pull requests are welcome.Contributors are expected to adhere to the Code of Conduct.

Jump into our Discord!

Code of Conduct

To maintain a safe and inclusive space for everyone to learn and grow, contributors are advised to follow the [Code of Conduct](./CODE_OF_CONDUCT.md).

Feedback

If you have any feedback or suggestions please reach out to Project - Maintainer.
* [Uppuluri Kalyani](https://github.com/UppuluriKalyani)

Or you can create a issue and mention there , which new features or extension can make this Project more good.

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### Show some ❤️ by starring this awesome Repository!