A best practice for tensorflow project template architecture.

Machine learning glossary

A TensorFlow & Deep Learning online course I taught in 2016

Stanford Unsupervised Feature Learning and Deep Learning Tutorial

Descriptive Deep Learning

Using temporal convolution to detect Audio Deepfakes

an implement of AlexNet with tensorflow, which has a detailed explanation.

An easy implement of VGG19 with tensorflow, which has a detailed explanation.

Reconstruction of the original paper on neural style transfer (Gatys et al.). I've additionally included reconstruction scripts which allow you to reconstruct only the content or the style of the image - for better understanding of how NST works.

Deep Learning Library. For education. Based on pure Numpy. Support CNN, RNN, LSTM, GRU etc.

ACL 2019: Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks

My implementation of various GAN (generative adversarial networks) architectures like vanilla GAN (Goodfellow et al.), cGAN (Mirza et al.), DCGAN (Radford et al.), etc.

A curated list of all machine learning algorithms and deep learning algorithms grouped by category.

Reconstruction of the fast neural style transfer (Johnson et al.). Some portions of the paper have been improved by the follow-up work like the instance normalization, etc. Checkout transformer_net.py's header for details.

This repository will contain the example detailed codes of Tensorflow and Keras, This repository will be useful for Deep Learning staters who find difficult to understand the example codes

This repo explains how to train an Object Detector for multiple objects using Tensorflow Object Detection API on Ubuntu 16.04 (GPU)

Simple project to detect if a person is wearing a mask

Deep learning library in python from scratch

Create naive (no temporal loss) NST for videos with person segmentation. Just place your videos in data/, run and you get your stylized and segmented videos.

Snake using RL