cloudxlab /
CloudxLab-Projects
This repository is a collection of Machine Learning and Deep Learning Projects, along with some OpenCV projects well-documented in Jupyter notebooks.
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rohanmistry231 / repository
A collection of deep learning projects implemented in Python, focusing on neural networks, computer vision, and NLP using frameworks like TensorFlow and PyTorch. Includes practical examples, datasets, and tutorials for building and evaluating advanced machine learning models.
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Welcome to the Deep Learning Projects repository! 🚀🔬 This repository contains various deep learning projects, covering areas such as computer vision, natural language processing, and generative models. Each project showcases different neural network architectures and deep learning techniques. 💡
Each project folder contains:
We welcome contributions! Feel free to improve existing projects, fix issues, or add new deep learning implementations. Submit a pull request and let's grow this collection together! 🚀
🌟 If you find this repository valuable, don't forget to star ⭐ it! Happy Coding! 🔥
Selected from shared topics, language and repository description—not editorial ratings.
cloudxlab /
This repository is a collection of Machine Learning and Deep Learning Projects, along with some OpenCV projects well-documented in Jupyter notebooks.
39/100 healthAaravjaii /
This repository contains a curated collection of machine learning and deep learning projects implemented in Jupyter Notebooks. The current focus areas include computer vision and natural language processing, with plans to expand into more domains as development progresses.
27/100 healthAmulya2511 /
Machine Learning & Deep Learning Projects — Includes Gold Price Prediction using machine learning regression and Disease Classification using CNN. A complete collection of practical ML/DL solutions with Jupyter Notebooks
chouhlaoui /
A collection of deep learning projects in Jupyter Notebooks covering classification, regression, and time series forecasting using real-world datasets and neural network models. Each project demonstrates practical modelling, data preprocessing, evaluation, and insights generated from neural network‑based approaches.
37/100 healthMuhammadYaqoob-pixel /
🧠 A collection of Deep Learning projects built with Python, TensorFlow/Keras, and Jupyter Notebook. This repository showcases my learning journey through hands-on implementations of ANN, classification, regression, model evaluation, data preprocessing, and visualization. New projects will be added as I continue learning.
55/100 healthadilzubair /
A comprehensive collection of machine learning and deep learning projects covering computer vision, NLP, time series analysis, and more. Each project includes detailed Jupyter notebooks and Python scripts.
34/100 health