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Keras implementation of 3dgan
3D Generative Adversarial Network
A TensorFlow implementation of this Nvidia paper: https://arxiv.org/pdf/1604.07316.pdf with some changes
A curated list of resources dedicated to Natural Language Generation (NLG)
The 3rd edition of course.fast.ai
List of a variety of deep learning neural networks I'm working on.
Example Repo for the Udemy Course "Deployment of Machine Learning Models"
Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer (NeurIPS 2019)
Disentangling Multiple Conditional Inputs in GANs
A Survey and Taxonomy of the Recent GANs Development
Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
Train a DCGAN on Colaboratory to generate Steam banners.
Dataset of GPT-2 outputs for research in detection, biases, and more
Deep learning simplified by transferring prior learning using the Python deep learning ecosystem
BiGAN implementation in Keras to detect similarities in Landscapes.
An implementation of Grad-CAM with keras
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
These are a few image datasets I have been developing from scratch.
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
The Udacity open source self-driving car project
Implementation of the paper "End to End Learning for Self-Driving Cars"
This dataset consist only of a few images of Aaron and Mark for Tawnya's project.
A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs).
train stylegan through transfer learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"
Trax — your path to advanced deep learning
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.