Machine Learning Tutorials

Explore the top 3 AI code generators—CodeConvert, ZZZ Code AI, and CodingFleet. Compare their features, pros, and cons to find the best tool for your coding needs, with CodingFleet leading for its advanced features and versatility.

Master Python facial recognition with our step-by-step tutorial. Build real-time and image upload systems to identify faces with precision. Essential for security, attendance, and more. Perfect for beginners. Dive into the biometric tech world now!

Learn how to perform vehicle detection, tracking and counting with YOLOv8 and DeepSORT using OpenCV library in Python.

Learn how to use stable diffusion 4x upscaler to upscale your low-resolution images into high quality images with Huggingface transformers and diffusers libraries in Python.

Learn how you can edit and style images using Instruct-Pix2Pix with the help of Huggingface diffusers and transformers libraries in Python.

Learn how you can control images generated by stable diffusion using ControlNet with the help of Huggingface transformers and diffusers libraries in Python.

Learn the current state-of-the-art models (such as BLIP, GIT, and BLIP2) for visual question answering with huggingface transformers library in Python.

Learn what is the ROUGE score and how to calculate it using rouge_score library in Python.

Learn what is Word Error Rate (WER) metric that is widely used in Automatic Speech Recognition (ASR) and how to implement it in Python along with using third-party libraries like jiwer and evaluate.

Learn how you can fine-tune BERT or any other transformer model for semantic textual similarity using Huggingface Transformers, PyTorch and sentence-transformers libraries in Python.

Learn how to do Automatic Speech Recognition (ASR) using APIs and/or directly performing Whisper inference on Transformers in Python

Learn how to perform real-time object tracking with the DeepSORT algorithm and YOLOv8 using the OpenCV library in Python.

Learn how you can generate similar images with depth estimation (depth2img) using stable diffusion with huggingface diffusers and transformers libraries in Python.

Learn how to perform text-to-image using stable diffusion models with the help of huggingface transformers and diffusers libraries in Python.

Learn how to fine tune the Vision Transformer (ViT) model for the image classification task using the Huggingface Transformers, evaluate, and datasets libraries in Python.

Learn how to use image segmentation transformer model to segment any image using huggingface transformers and PyTorch libraries in Python.