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A PyTorch implementation of the Transformer model in "Attention is All You Need".
Awesome Transformers (self-attention) in Computer Vision
Non-official implement of Paper:CBAM: Convolutional Block Attention Module
Chemical Property Prediction with Graph Convolutional Networks
Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification
Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
Deep Gaussian Processes in matlab
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
This is the final project following my time at Flatirons Data Science bootcamp. It uses Neural Networks (and other machine learning methods) to predict the day ahead electricity price, and modelled a basic battery function to extract value
GluonTS - Probabilistic Time Series Modeling in Python
a distributed Hyperband implementation on Steroids
Pytorch implementation of the image transformer for unconditional image generation
Source code for 'MATLAB Deep Learning' by Phil Kim
MLDemos software
PHATE (Potential of Heat-diffusion for Affinity-based Transition Embedding) is a tool for visualizing high dimensional data.
Strategies for Pre-training Graph Neural Networks
Factorization Machine models in PyTorch
Pytorch Implementation of Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN)
A scikit-learn compatible implementation of hyperband
SwinIR: Image Restoration Using Swin Transformer
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
A python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
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.