A Generative Adversarial Networks (GANs) Specialization made by deeplearning.ai on Coursera

Quadratic Programming solvers in Python with a unified API

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearn…

📝 Standalone Doctrine Annotations for Nette Framework

A PyTorch Implementation of Matrix Capsules with EM Routing

Convolutional Neural Networks

Attention mechanism Implementation for Keras.

starter from "How to Train a GAN?" at NIPS2016

Reference implementations of popular deep learning models.

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

Face related datasets

Label Studio is a multi-type data labeling and annotation tool with standardized output format

This is the code "The Neural Qubit", the quantum machine learning research paper & video by Siraj Raval

keras implementation of Faster R-CNN

A TensorFlow implementation of "Matrix Capsules with EM Routing" by Hinton et al. (2018).

CapsNet (Capsules Net) in Geoffrey E Hinton paper "Dynamic Routing Between Capsules" - State Of the Art

lecture notes of "Matrix Methods in Data Analysis, Signal Processing, and Machine Learning"

A minimal YOLO V1 implementation using Keras

Data Augmentation For Object Detection

Regularized kernel canonical correlation analysis in Python

This is the curriculum for "Learn Computer Vision" by Siraj Raval on Youtube