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A natural language modeling framework based on PyTorch
Python solutions to solve practical business problems.
Code samples used on cloud.google.com
program with Python, how to create amazing data visualizations, and how to use Machine Learning with Python! Here a just a few of the topics we will be learning: Programming with Python NumPy with Python Using pandas Data Frames to solve complex tasks Use pandas to handle Excel Files Web scraping with python Connect Python to SQL Use matplotlib and seaborn for data visualizations Use plotly for interactive visualizations Machine Learning with SciKit Learn, including: Linear Regression K Nearest Neighbors K Means Clustering Decision Trees Random Forests Natural Language Processing Neural Nets and Deep Learning Support Vector Machines and much, much more!
Tutorials on Machine Learning and Deep Learning with Python
The "Python Machine Learning (1st edition)" book code repository and info resource
Python shot detector based on PyAV
Python Books PDFs
The Python Code Tutorials
Artificial neural network classes and tools in Python and TensorFlow.
A collection of scripts to create videos using moviepy.
AICUP 2021 object detection
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR).
[EARLY RELEASE] Demo of using PyTorch 1.0 inside an Android app. Test with your own deep neural network such as ResNet18/SqueezeNet/MobileNet v2 and a phone camera.
Bayesian Version of DCGAN
Super Resolution using Bayesian CNN
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
Classification with PyTorch.
PyTorch implementation of the CortexNet predictive model
Pytorch implementation of Count-ception and custom CNN counting models for Kaggle Sea Lion Count challenge
Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)
A PyTorch implementation of image steganography utilizing deep convolutional neural networks
PyTorch implementation of "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511
A pytorch implementation of Deep Graph Laplacian Regularization for image denoising
DeepLab v3+ model in PyTorch. Support different backbones.
PyTorch implementation of ENet
an example of a CUDA extension for PyTorch using CuPy which computes the Hadamard product of two tensors
A Port of Fréchet Inception Distance (FID score) to PyTorch
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.