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3dgan-keras

Keras implementation of 3dgan

3dgan-release

3D Generative Adversarial Network

autopilot-tensorflow

A TensorFlow implementation of this Nvidia paper: https://arxiv.org/pdf/1604.07316.pdf with some changes

awesome-nlg

A curated list of resources dedicated to Natural Language Generation (NLG)

course-v3

The 3rd edition of course.fast.ai

deep_learning_projects

List of a variety of deep learning neural networks I'm working on.

deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

dib-r

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer (NeurIPS 2019)

disentangling_conditional_gans

Disentangling Multiple Conditional Inputs in GANs

fairyonice.github.io

gan_review

A Survey and Taxonomy of the Recent GANs Development

gans-in-action

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

google-colab

Train a DCGAN on Colaboratory to generate Steam banners.

gpt-2-output-dataset

Dataset of GPT-2 outputs for research in detection, biases, and more

hands-on-transfer-learning-with-python

Deep learning simplified by transferring prior learning using the Python deep learning ecosystem

keras-bigan

BiGAN implementation in Keras to detect similarities in Landscapes.

keras-grad-cam

An implementation of Grad-CAM with keras

mask_rcnn

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

new_datasets-fromscratch

These are a few image datasets I have been developing from scratch.

objectclassification_cnn_keras

Using CNN with Keras and Tensorflow, we have a deployed a solution which can train any image on the fly. Code uses Google Api to fetch new images, VGG16 model to train the model and is deployed using Python Django framework

self-driving-car

The Udacity open source self-driving car project

self-driving-car-1

Implementation of the paper "End to End Learning for Self-Driving Cars"

small_image_dataset

This dataset consist only of a few images of Aaron and Mark for Tawnya's project.

ssgan-tensorflow

A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs).

stylegan-art

train stylegan through transfer learning

t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

text-to-text-transfer-transformer

Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"

trax

Trax — your path to advanced deep learning