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Computation using data flow graphs for scalable machine learning
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Simple tutorials using Google's TensorFlow Framework
TensorFlow Tutorial for Time Series Prediction
A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).
This repo contains materials for use in a TensorFlow workshop.
Build Tensorflow C++ API, load a SavedModel and serve predictions
This will contain slides, videos, handouts and other material related to the KDD 2022 tutorial on Graph Learning for Financial World
Serverless CI/CD pipeline on GCP using Terraform
A system for connecting language to space and time.
Deep learning library featuring a higher-level API for TensorFlow.
neural networks in theano
Demonstration of recurrent neural network implemented with Theano
Bare bones introduction to machine learning from linear regression to convolutional neural networks using Theano.
Exercises for my tutorials on Theano
Nano size Theano LSTM module
TIES483, Nonlinear Optimization course at the University of Jyväskylä, Department of Mathematical Information Technology
Repository of Resources for the KDD 2022 Tutorial " Efficient Machine Learning on Large-Scale Graphs"
R packages for visualizing statistical models, with tools for counterfactual simulation
a set of streamlit apps to demonstrate how to easily build real-time apps with Timeplus SDK
An open standard for threshold key management
A repository that aims to provide tools for cryptography and cryptanalysis
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
Webpage for Toronto Deep Learning Code
An overview of deploying Kubeflow on GCP, AWS, and MicroK8s for exploring the major features
Training materials for Strata, AMP Camp, etc
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Stanford Sentiment Treebank machine learning & sentiment analysis library
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.