Differentiable architecture search for convolutional and recurrent networks
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Updated
May 23, 2019 - Python
Differentiable architecture search for convolutional and recurrent networks
The code is modified based on https://github.com/quark0/darts and used for learning
Cool game for darts lovers who often play with friends. (App made for practicing Python purposes.)
PaddlePaddle Implementation of DARTS: Differentiable Architecture Search
Automatic scoring system for steel darts using OpenCV, a Raspberry Pi 3 Model B and two webcams.
As a toy project, this repository provides implementations of the first order Differentiable Architecture Search (DARTS) on the fashion-mnist dataset in three different frameworks.
DeepDarts is the first deep learning-based automatic scoring system for steel-tip darts. It predicts dart scores from a single image taken from any camera angle.
Alexa skill that advises on where to aim during a game of darts
[IROS 2021] ADD: A Fine-grained Dynamic Inference Architecture for Semantic Image Segmentation
Open-source preprocessing tool that can create, at the required level of accuracy, a fully conformal uniformly distributed grid for a given realistic fracture network. This leads to a robust way of constructing a hierarchy of Discrete-Fracture-Models for uncertainty quantification of energy production from reservoirs with natural fracture networ…
Modeling multiphase flow in fractured porous media using DARTS: a simple DFM example. See https://darts.citg.tudelft.nl/ for more information
Python library to interact with Unicorn Smartboard and count dart scores.
Pure python implementation of DARTS (Double ARray Trie System)
Latency Estimation for Neural Network Architecture
PyTorch to Keras model convertor
New product demand forecasting via Content based learning for multi-branch stores: Ali and Nino Use Case
[AAAI '23] PINAT: A Permutation INvariance Augmented Transformer for NAS Predictor
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