Provider-agnostic, hands-on resources for computer vision, deep learning, and LangChain/RAG masterclasses.
Masterclass Channel: https://www.youtube.com/@vgiskill
- LLM & Agents: LangChain, LCEL, LangGraph, tools/agents, memory, RAG
- Models & Inference: Ultralytics YOLO (detection/pose/seg), TensorFlow/Keras CNNs & MLPs
- CV & Media: OpenCV, PIL, image/video processing, augmentation
- Vector & RAG: FAISS, ChromaDB (examples), embeddings (OpenAI/Gemini/HF), retrieval chains
- Data & Docs: Unstructured, PDF/text loaders, chunking strategies
- MLOps & Tracking: MLflow, Weights & Biases (W&B)
- Deployment/Export: TensorFlow Lite (CNN), ONNX (YOLO)
- Hardware/Infra: NVIDIA GPUs (CUDA), provider-agnostic APIs (OpenAI, Gemini, Hugging Face)
- Neural_Network_Resources – Fashion-MNIST MLPs, regularization (BN/Dropout), overfitting diagnostics. Notebook + README.
- Mastering_CNN_Image_Classification. – Flower classification with CNNs, data augmentation, dropout, TensorFlow Lite export. Notebook + README.
- OpenCV_Tutorial – Image/video loading, color spaces, resizing/cropping, blur, Canny edges, brightness/contrast, drawing, frame extraction. Notebook + README.
- Object_Detection_Masterclass – YOLO inference basics, bounding box formats (xywh/xyxy, normalized), manual plotting. Notebook + concise README.
- Yolo_model_Training_Masterclass – PPE dataset training with YOLOv8, testing, ONNX export, optional MLflow. Notebook + concise README.
- Vision_Model_Monitering_WanDB – YOLO training instrumented for MLflow and W&B logging. Two scripts + README.
- Pose_estimation_and_Action_Recognition – YOLO pose training/inference, keypoints & skeletons, video demo script. Notebook + README with images.
- VGI_Langchain_Resources – LangChain course (LCEL, memory, RAG, tools, agents, LangGraph, eval). Notebooks + README with course diagrams.
- VGI_RAG_Resources – RAG pipeline (load → split → embed → store → retrieve → generate), vector DB notes. Notebook + README with RAG diagrams.
- Yolo_Application_Solutions_Projects – Applied YOLO scripts: counting (global/regions), queues/zones, speed/distance, heatmaps, security alarms, segmentation, blurring, cropping, workout monitoring, analytics. README.
- logos/ – Shared logos and banners.
- Pick a folder for the topic you need (vision, YOLO, LangChain/RAG).
- Open the README inside that folder for the quick guide and commands.
- Run the accompanying notebook/script to follow along.
- Check the YouTube channel for the matching masterclass video.
Neural_Network_Resources/Mastering_CNN_Image_Classification./OpenCV_Tutorial/Object_Detection_Masterclass/Yolo_model_Training_Masterclass/Vision_Model_Monitering_WanDB/Pose_estimation_and_Action_Recognition/VGI_Langchain_Resources/VGI_RAG_Resources/Yolo_Application_Solutions_Projects/
Happy learning and building!