Venelin Valkov Courses

LangChain Models- ChatGPT, Flan Alpaca, OpenAI Embeddings, Prompt Templates & Streaming

Explore LangChain's capabilities with chat models, embeddings, and prompt templates. Learn to enhance responses and stream output for efficient language model integration.

• YouTube
• 20 minutes
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• 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

3D Photo Inpainting Python Tutorial - Turn Any Picture Into 3D Photo with Machine Learning

Learn to create stunning 3D photos from regular images using machine learning and Python. Explore the process of 3D photo inpainting, from setup to final results, in this hands-on tutorial.

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

Reproducible Machine Learning and Experiment Tracking Pipeline with Python and DVC

Learn to build reproducible machine learning pipelines using Python and DVC. Track experiments, manage data versions, and compare model metrics for improved ML workflow efficiency.

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