Venelin Valkov Courses

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

6 reviews

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

• YouTube
• 31 minutes
• On-Demand
• Free Video

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

1 review

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
• On-Demand
• Free Video

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

1 review

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
• On-Demand
• 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
• On-Demand
• Free Video

Fine-Tuning Alpaca- Train Alpaca LoRa for Sentiment Analysis on a Custom Dataset

Learn to fine-tune Llama 7B with Alpaca LoRa on a custom bitcoin sentiment dataset. Covers data preprocessing, model training, and performance analysis for sentiment detection in cryptocurrency tweets.

• YouTube
• 34 minutes
• On-Demand
• Free Video

Exploring the ChatGPT API with Python - Multiple Completions, Max Tokens, Temperature

Learn to use ChatGPT API with Python: create requests, manage conversations, explore multiple completions, adjust temperature, and count tokens using tiktoken. Perfect for beginners and those looking to expand their skills.

• YouTube
• 28 minutes
• On-Demand
• Free Video

Loaders, Indexes & Vectorstores in LangChain - Question Answering on PDF Files with ChatGPT

Learn to use LangChain for advanced document processing, including loading PDFs, creating embeddings, and performing question-answering with ChatGPT. Explore data loaders, indexes, and vector stores for efficient text analysis.

• YouTube
• 24 minutes
• On-Demand
• Free Video

Generative Agents- Simulating Human Behavior with ChatGPT

Explore the breakthrough of Generative Agents, simulating human-like behavior in interactive environments using Large Language Models, with key components and real-world applications.

• YouTube
• 22 minutes
• On-Demand
• 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
• On-Demand
• Free Video

Build a Neural Network for Classification from Scratch with PyTorch

Learn to build a neural network for classification using PyTorch, covering data preparation, network structure, and implementation. Gain hands-on experience in deep learning fundamentals.

• YouTube
• 40 minutes
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• Free Video