"Train smarter, not harder — Instant AI solutions for real-world challenges."
Instant-Training is your go-to repository for a diverse set of AI training projects.
Covering domains like NLP, Computer Vision, Recommender Systems, and Driver Behavior Analysis,
these ready-to-use notebooks help you learn, prototype, and deploy powerful AI solutions instantly.
| Project | Description |
|---|---|
| Twitter Sentiment Analysis | Predict sentiment of tweets using NLP techniques. |
| Soccer Player Detection by YOLOv1 | Detect soccer players in images using YOLOv1 object detection. |
| LangChain RAG | Implement Retrieval-Augmented Generation pipelines with LangChain. |
| Driver Behavior Detection by CNN | Detect driver's behavior patterns with Convolutional Neural Networks. |
| Car Detection by YOLOv1 | Locate cars in images via YOLOv1 model. |
| Breast Cancer Classification by Computer Vision | Early cancer detection using CNNs and medical imaging. |
| Brain Tumor MRI Detection Using CNN | Classify MRI scans for tumor presence via CNN models. |
| Recommendation Movies Systems | Build movie recommender systems using collaborative and pretrained models. |
| Hand landmarks detection | Make Hand landmarks detections using Mediapipline. |
| DataScience Churn Bank Project | Full Data Science Project Of Bank Churn. |
- 💌 Pre-built models for fast experimentation
- 🎯 High accuracy and tested results
- 🤖 Modular and easy-to-extend code
- 🎥 Real-world datasets (images, text, behavioral data)
- 🖥️ Ready-to-run on Colab or locally
# Clone the repository
git clone https://github.com/the0king0mina/Instant-Training-.git
# Navigate into the folder
cd Instant-Training-
# Open any notebook in Google Colab / Jupyter Notebook✅ Install any required libraries inside the notebooks if prompted.
General libraries across projects:
pip install tensorflow keras torch torchvision scikit-learn pandas numpy matplotlib seaborn opencv-python langchain nltkEach notebook might have small additional requirements mentioned at the top.
Developed by: Mena Nabil Samir
- Contributions are welcome! Feel free to fork and create Pull Requests 🚀
- Educational and research use only. Commercial use requires permission.
"Empowering your AI journey — one notebook at a time."