Tensors and Dynamic neural networks in Python with strong GPU acceleration

The Web framework for perfectionists with deadlines.

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

Inference code for Llama models

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…

Datasets, Transforms and Models specific to Computer Vision

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

40 Algorithms Every Programmer Should Know, published by Packt

IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018