Most popular and easy to use open source UI library with 1000+ Widgets to build flutter app.
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Updated
Nov 30, 2022 - Dart
Most popular and easy to use open source UI library with 1000+ Widgets to build flutter app.
OpenMMLab Model Compression Toolbox and Benchmark.
PyTorch to Keras model convertor
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
Automatic scoring system for steel darts using OpenCV, a Raspberry Pi 3 Model B and two webcams.
Differentiable architecture search for convolutional and recurrent networks
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.
Projetos de modelagem e previsão de séries temporal em linguagem Python e linguagem R. Usarei vários modelos de bibliotecas e pacotes usados para tratamento, modelagem e previsão de séries temporais. Falarei um pouco sobre cada uma delas, gerarei a validação e as previsões e, por fim, realizarei a avaliação com a métricas pertinentes.
PC-DARTS (PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search, published in ICLR 2020) implemented in Tensorflow 2.0+. This is an unofficial implementation.
Pure python implementation of DARTS (Double ARray Trie System)
[IROS 2021] ADD: A Fine-grained Dynamic Inference Architecture for Semantic Image Segmentation
Code for Cross-Task Neural Architecture Search for EEG Signals
A library to easily implement the browser API native features into the flutter web
New product demand forecasting via Content based learning for multi-branch stores: Ali and Nino Use Case
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…
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.
The idea of this project is to use a ML keypoint detection model to calculate darts scores by "scanning" the dartboard with the camera of your smartphone
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