Venelin Valkov Courses

Object Detection on Custom Dataset with YOLO - Fine-Tuning with PyTorch and Python Tutorial

7 ratings

Fine-tune YOLO v5 for custom object detection using PyTorch. Learn model installation, training, evaluation, and application on a clothing dataset.

• YouTube
• 31 minutes
• Self-Paced
• Free Video

DeepSeek Coder- AI Writes Code - LLM For Code Generation Beats ChatGPT, ChatDev & Code Llama

2 ratings

Explore DeepSeek Coder's capabilities in coding tasks, from simple functions to complex problems and app development. Compare its performance to other AI models in various programming scenarios.

• YouTube
• 24 minutes
• Self-Paced
• Free Video

Build Powerful AI Agents with ChatGPT-GPT-4 - Python Tutorial for Cryptocurrency Analysis

1 rating

Explore AutoGen for creating AI agents with LLMs. Learn to build a stock price analyzer and a multi-agent system for cryptocurrency analysis using Python and GPT models.

• YouTube
• 22 minutes
• Self-Paced
• Free Video

Build 100% Local AI Agent to Chat with Your Files - Private AI Knowledge Base with MCP and RAG

1 rating

Discover how to build CogVault, a completely local AI agent that chats with your PDFs and documents using Qwen3, MCP tools, RAG, and Streamlit without cloud dependency.

• YouTube
• 43 minutes
• Self-Paced
• Free Video

Evaluate LayoutLMv3 for Document Classification - Save & Load Model to HuggingFace Hub

1 rating

Learn to evaluate LayoutLMv3 for document classification, save and load models to HuggingFace Hub, and analyze performance using confusion matrices in this hands-on tutorial.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

Local Llama 3.2 (3B) Tutorial - Summarization, Structured Text Extraction, and Data Labelling

1 rating

Explore Llama 3.2 (3B) on Ollama for summarization, data extraction, and labeling. Learn setup, coding, and practical applications in this hands-on tutorial.

• YouTube
• 19 minutes
• Self-Paced
• Free Video

Alpaca & LLaMA - Can it Compete with ChatGPT?

Explore Stanford Alpaca's capabilities, learn inference techniques, and compare its performance to ChatGPT in this step-by-step tutorial on setting up and optimizing the model.

• YouTube
• 42 minutes
• Self-Paced
• Free Video

GPT4All - Run on GPU in Google Colab Notebook

Learn to run GPT4All, a free ChatGPT-like model, on Google Colab. Explore setup, prompts, and comparisons with ChatGPT in this hands-on tutorial.

• YouTube
• 23 minutes
• Self-Paced
• Free Video

Build Your First Model with PyTorch and Python - PyTorch Tutorial for Beginners

Learn to implement a Simple Linear Regression model using PyTorch, covering data exploration, model creation, tensor conversion, training, and prediction analysis in this beginner-friendly tutorial.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

Deploy LayoutLMv3 for Document Classification Using Streamlit, Transformers, and HuggingFace Spaces

Learn to deploy LayoutLMv3 for document classification using Streamlit and HuggingFace Spaces. Covers model loading, input preparation, and classification process, resulting in a functional demo app.

• YouTube
• 35 minutes
• Self-Paced
• Free Video

Mastering PyTorch Tensors- The Ultimate Guide for Beginners

Comprehensive guide to PyTorch tensors: creation, types, operations, indexing, reshaping, and data handling. Essential for beginners in machine learning and deep learning projects.

• YouTube
• 39 minutes
• Self-Paced
• Free Video

Machine Learning Engineer Mock Interview for Meta with ChatGPT

Simulated machine learning engineer interview using ChatGPT, covering key ML concepts, coding tasks, and system design. Explores AI's ability to handle technical questions and practical scenarios.

• YouTube
• 41 minutes
• Self-Paced
• Free Video

Getting Started with PyTorch Lightning for Deep Learning

Explore PyTorch Lightning for easier Deep Learning projects, using Google's GoEmotions dataset to build an emotion classification model with practical coding examples.

• YouTube
• 22 minutes
• Self-Paced
• Free Video

Multivariate Time Series Forecasting with LSTM Using PyTorch and PyTorch Lightning - ML Tutorial

Learn to build and train an LSTM Deep Neural Network for Bitcoin price prediction using multivariate time series data, PyTorch, and PyTorch Lightning. Covers dataset creation, model building, and prediction analysis.

• YouTube
• 46 minutes
• Self-Paced
• Free Video

Create YOLO Dataset for Custom Object Detection Using OpenCV, PyTorch, and Python Tutorial

Learn to create custom datasets for YOLOv5 object detection, focusing on clothing items in images using OpenCV, PyTorch, and Python. Includes dataset preparation, format conversion, and file structure explanation.

• YouTube
• 37 minutes
• Self-Paced
• Free Video