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TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Deep Learning Specialization by Andrew Ng on Coursera.
Efficient Image Captioning code in Torch, runs on GPU
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch
Two time-scale update rule for training GANs
Generative Adversarial Networks implemented in PyTorch and Tensorflow
PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks
Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs
A single jupyter notebook multi gpu VAE-GAN example with latent space algebra and receptive field visualizations.
An empirical study on evaluation metrics of generative adversarial networks.
List of OpenCV projects to further increase the computer vision community. Coding in Python & C++(In progress).
A Pytorch Computer Vision template to quick start your next project! 🚀🚀
Unrolled Generative Adversarial Networks
Tutorial on GANs
TensorFlow tutorial on Generative Adversarial Models
A stable algorithm for GAN training
All of the code for my Medium articles
Fish detection using Open Images Dataset and Tensorflow Object Detection
Code for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".
Learning to detect fake face images in the wild. We use a deep fully convolutional network based on Siamese network and contrastive loss.
Multi-GPU data-parallel training in Keras
Code for the paper "Improving GANs Using Optimal Transport"
Train your own custom MaskRCNN Object Detection and Instance Segmentation model.
Perception algorithms for Self-driving car; Lane Line Finding, Vehicle Detection, Traffic Sign Classification algorithm.
Car crash detector from dashcam video using Convolutional neural network
Example notebooks on building PyTorch, preparing data and training as well as an updated project from a PyTorch MaskRCNN port
