The Tech Edvocate

How to use PyCharm for data science

Spread the love“`html In today’s data-driven world, the ability to analyze and interpret vast amounts of information is more ...
IEEE

Transformers for Natural Language Processing: Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more

Publisher's Note: A new edition of this book is out now that includes working with GPT-3 and comparing the results with other models. It includes even more use cases, such as casual language analysis ...
GitHub

Mask R-CNN for Object Detection and Instance Segmentation on Keras and TensorFlow 2.14.0 and Python 3.10

This is an implementation of the Mask R-CNN paper which edits the original Mask_RCNN repository (which only supports TensorFlow 1.x), so that it works with Python 3.10 and TensorFlow 2.14.0. This new ...
GitHub

eBPF Developer Tutorial: Learning eBPF Step by Step with Examples

This is a development tutorial for eBPF based on CO-RE (Compile Once, Run Everywhere). It provides practical eBPF development practices from beginner to advanced, including basic concepts, code ...
TechPP

Best Free Online AI Courses in 2026, From Beginner to Expert

Master AI with the best free online AI courses in 2026 for beginners, professionals, and developers, including top picks from Harvard, Google, OpenAI, and more.