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Name: Dzianis Dus
Type: User
Company: @mapbox
Bio: Machine learning & Data engineering @ MapBox
Location: Belarus, Minsk
Name: Dzianis Dus
Type: User
Company: @mapbox
Bio: Machine learning & Data engineering @ MapBox
Location: Belarus, Minsk
Implementation of model compression with knowledge distilling method.
Visualizer for deep learning and machine learning models
Keras Implementation of Neural Style Transfer from the paper "A Neural Algorithm of Artistic Style" (http://arxiv.org/abs/1508.06576) in Keras 1.2.0
A tiny library for building neural networks from blocks
Automatic License Plate Recognition library
Simple, realtime visualization of neural network training performance.
Tiny framework for machine learning algorithms evaluation and comparison
A course in reinforcement learning in the wild
Tensors and Dynamic neural networks in Python with strong GPU acceleration
PyTorch implementation of [1412.6553] and [1511.06530] tensor decomposition methods for convolutional layers.
Convert https://pjreddie.com/darknet/yolo/ into pytorch
Quantized Neural Networks - networks trained for inference at arbitrary low precision.
Machine Learning toolbox for Humans
This is a self contained software accompanying the paper titled: Learning Longer Memory in Recurrent Neural Networks: http://arxiv.org/abs/1412.7753.
Simhash and near-duplicate detection
attention model for entailment on SNLI corpus implemented in Tensorflow and Keras
A lightweight platform for developing information extraction systems using data programming
A tensorflow implementation for SqueezeDet, a convolutional neural network for object detection.
Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)
Stochastic Weight Averaging in PyTorch
Tensorflow implementation of SCRNN cell
TensorFlow implementation of Word2Vec Skip-Gram model with negative sampling
Deep Learning Tutorial for Kaggle Ultrasound Nerve Segmentation competition, using Keras
Gaussian word embeddings
Tiny YOLO for iOS implemented using CoreML but also using the new MPS graph API.
Yandex SDA classes on deep learning. Version of year 2017
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.