{"id":24523612,"url":"https://github.com/devmuniz02/ai-ml-code-and-projects","last_synced_at":"2025-07-24T07:08:42.754Z","repository":{"id":271038257,"uuid":"912222755","full_name":"devMuniz02/AI-ML-Code-and-projects","owner":"devMuniz02","description":"AI, ML, RL, CV Projects | Portfolio","archived":false,"fork":false,"pushed_at":"2025-01-29T04:53:28.000Z","size":9913,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-15T14:12:38.309Z","etag":null,"topics":["autonomous-car","cnn","computer-vision","imitation-learning","neural-networks","optimization","python","pytorch","quantization","reinforcement-learning","stable-baselines3","tensorflow","transfer-learning"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/devMuniz02.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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":"2025-01-05T00:25:27.000Z","updated_at":"2025-01-29T04:53:32.000Z","dependencies_parsed_at":"2025-01-20T14:37:33.323Z","dependency_job_id":"edd159fc-c61d-412e-af83-9544de46efca","html_url":"https://github.com/devMuniz02/AI-ML-Code-and-projects","commit_stats":null,"previous_names":["devmuniz02/ai-ml-code-and-projects"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/devMuniz02/AI-ML-Code-and-projects","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/devMuniz02%2FAI-ML-Code-and-projects","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/devMuniz02%2FAI-ML-Code-and-projects/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/devMuniz02%2FAI-ML-Code-and-projects/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/devMuniz02%2FAI-ML-Code-and-projects/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/devMuniz02","download_url":"https://codeload.github.com/devMuniz02/AI-ML-Code-and-projects/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/devMuniz02%2FAI-ML-Code-and-projects/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":266807194,"owners_count":23987426,"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","status":"online","status_checked_at":"2025-07-24T02:00:09.469Z","response_time":99,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":["autonomous-car","cnn","computer-vision","imitation-learning","neural-networks","optimization","python","pytorch","quantization","reinforcement-learning","stable-baselines3","tensorflow","transfer-learning"],"created_at":"2025-01-22T04:16:06.300Z","updated_at":"2025-07-24T07:08:42.724Z","avatar_url":"https://github.com/devMuniz02.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# AI and Machine Learning Projects Repository\n\n\u003e **Warning:** Projects are being migrated to individual repositories. Stay tuned for updates.\n\nWelcome to the **AI and Machine Learning Projects Repository**! This repository is a collection of my personal projects, experiments, and implementations using various Artificial Intelligence (AI), Machine Learning (ML) techniques and frameworks and other fun projects.\n\n## Repository Structure\nThe repository is organized into folders based on topics and frameworks to make navigation simple and intuitive. Below is an overview of the folder structure:\n\n```\nAI-ML-Code-and-projects/\n├── Autonomous warehouse car - In progress until May 2025/      # Autonomous warehouse car project\n│   ├── QR Reader/\n│   ├── Line follower/\n│   ├── Movement/\n├── cnn/                      # Convolutional Neural Networks projects\n│   ├── tensorflow/\n│   ├── pytorch/\n├── Generative modeling/      # Generative Adversarial Networks projects\n│   ├── tensorflow/\n├── Imitation Learning/       # Reinforcement Learning projects\n├── Model optimization/       # Model optimization techniques in TensorFlow\n│   ├── tensorflow/\n├── RNN/                     # Recurrent Neural Networks projects\n│   ├── tensorflow/\n├── Reinforcement learning/   # Reinforcement Learning projects\n│   ├── tensorflow/\n│   ├── stable_baselines3/\n│   ├── pytorch/\n├── Transfer learning/   # Transfer Learning projects\n│   ├── tensorflow/\n```\n\n## Included Topics\n\n### **Coming soon**\n- Implementation of DeepSeek R1 distilled 1.5B on linux\n\n### **In progress**\n- [Autonomous warehouse car](https://github.com/devMuniz02/Autonomous-warehouse-car) (UDEM) / Until May 2025\n\nUse of Hiwonder omnidirectional car and Universal robot UR3e in a warehouse grid-like route.\n\n\u003cimg src=\"https://www.hiwonder.com/cdn/shop/products/1_6e85e9c0-9159-4cbf-a56e-1bfedd29c624.jpg?v=1675655593\" alt=\"Hiwonder TurboPi Robot Car\" width=\"300\"\u003e \u003cimg src=\"https://github.com/user-attachments/assets/0564c594-d1a3-4e21-8262-5e8d54ea3cb6\" alt=\"image\" width=\"300\"\u003e\n- [QR Reader](https://github.com/devMuniz02/QR-Reader)\n- [Car lane detector](https://github.com/devMuniz02/Car-lane-detector/)\n- [Image Color Detection](https://github.com/devMuniz02/Image-Color-Detection/)\n- [Autonomous Car control](https://github.com/devMuniz02/Autonomous-car-control/)\n\n### 1. **Convolutional Neural Networks (CNN)**\nProjects using CNN architectures for image classification, object detection, and other computer vision tasks, with implementations in:\n- TensorFlow\n- PyTorch\n\n![image](https://github.com/user-attachments/assets/8e872fe0-2a87-4034-96be-560d364944cd)\n\n\n### 2. **Generative Modeling**\nProjects focused on Generative Adversarial Networks (GANs) for tasks such as:\n- Image generation\n- Style transfer\nImplemented in TensorFlow.\n\n### 3. **Imitation Learning**\nProjects exploring Reinforcement Learning techniques applied to imitation learning tasks.\n\n### 4. **Model Optimization**\nTechniques for optimizing machine learning models in TensorFlow, including:\n- Pruning\n- Quantization\n- Weight clustering\n\n### 5. **Recurrent Neural Networks (RNN)**\nApplications of RNNs for sequence modeling tasks like:\n- Time series forecasting (LSTM)\n- Natural language processing  \n- [Stock Prediction with LSTM and Sentiment Analysis](https://github.com/devMuniz02/Stock-prediction-LSTM-Sentiment-Analysis-Python)\n\n### 6. **Reinforcement Learning (RL)**\nProjects and experiments with RL algorithms for tasks like policy optimization and environment interaction. Implementations include:\n- TensorFlow\n- Stable Baselines3\n- PyTorch\n- [Robot 3-DOF Reinforcement learning control](https://github.com/devMuniz02/Robot-3-DOF-Reinforcement-learning-control/)\n\n| Before Training | \n|-----------------|\n| ![Before Training](https://github.com/user-attachments/assets/92e5f981-94b3-4f45-a8ed-d4abaee6008d) |\n\n| After 100,000 Steps |\n|---------------------|\n| ![After Training 100k](https://github.com/user-attachments/assets/6f4025b6-8d30-4702-b31c-d8a78891e88a) |\n\n| After 500,000 Steps |\n|---------------------|\n| ![After Training 500k](https://github.com/user-attachments/assets/e42b7651-4394-4c50-a5e6-0f62e65f6f22) |\n\n- [Reinforcement-Learning-Stock-Portfolio-Management](https://github.com/devMuniz02/Reinforcement-Learning-Stock-Porfolio-Managment)\n\n### 7. **Transfer Learning**\nProjects usign pretained models with transfer learning. Implementations include:\n- TensorFlow\n\n## How to Use\n1. Clone the repository:\n   ```bash\n   git clone https://github.com/devMuniz02/AI-ML-Code-and-projects.git\n   ```\n2. Navigate to the folder of interest and explore the projects and notebooks.\n3. Ensure you have the required dependencies installed.\n\n## Dependencies\nMost projects use popular Python libraries such as:\n- TensorFlow\n- PyTorch\n- NumPy\n- Pandas\n- Matplotlib\n- HuggingFace Transformers\n- Stable Baselines3\n\n## Contributions\nContributions are welcome! Feel free to submit a pull request or open an issue if you have ideas for improvements, new projects, or bug fixes.\n\n## License\nThis repository is licensed under the MIT License. See the [LICENSE](LICENSE) file for more details.\n\nHappy coding!\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdevmuniz02%2Fai-ml-code-and-projects","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdevmuniz02%2Fai-ml-code-and-projects","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdevmuniz02%2Fai-ml-code-and-projects/lists"}