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An implementation of ACGAN with adversarial loss and training algorithm from Improved WGAN.
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
Repository for scripts and notebooks from the book: Beginner’s Guide to Using PyTorchfor Deep Learning
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Deep Learning for Computer Vision, by Packt
Deep Learning Illustrated (2019)
Deep Learning with PyTorch 1.x, published by Packt
This project is an aid to the blind. Till date there has been no technological advancement in the way the blind navigate. So I have used deep learning particularly convolutional neural networks so that they can navigate through the streets.
TensorFlow examples
Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow
GAN-QP: A Novel GAN Framework without Gradient Vanishing and Lipschitz Constraint
wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch
The official code repository for examples in the O'Reilly book 'Generative Deep Learning'
Generative Adversarial Networks Projects, published by Packt
Hands-On Computer Vision with TensorFlow 2, published by Packt
Hands-on Convolutional Neural Networks with Tensorflow, published by Packt
Implement your own deep learning models from scratch with Tensorflow 2.0
Hands-On Generative Adversarial Networks with Keras, published by Packt
Hands-On Recommendation Systems with Python published by Packt
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Web App
Implementation of "Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect" in pytorch
Code for reproducing experiments in "Improved Training of Wasserstein GANs"
Keras implementation of Progressive Growing of GANs for Improved Quality, Stability, and Variation.
Koç University deep learning framework.
Code repository for Learn Qlik Sense Dashboard Development published by Packt
:unlock: Lip Reading - Cross Audio-Visual Recognition using 3D Architectures
Content for Udacity's Machine Learning curriculum
Python code for common Machine Learning Algorithms
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.