A quick-n-dirty 45 minute primer to train an image classifier using FastAI
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Updated
Feb 28, 2022 - Jupyter Notebook
A quick-n-dirty 45 minute primer to train an image classifier using FastAI
Material do curso Py-14 de Python e Orientação a Objetos da Caelum adaptado para o formato de Notebooks
PyTorch 1.x version's Tutorials using Google Colab: Overview, Regression, ConvNets, RNNs, GANs tutorials, etc.
Examples realizados no Google Colab
Bypassing Google Colab GPU Limitations
Javascript implementation of the Bitcoin protocol for any Bitcoin based coins, on server and inside browsers, discover and move/manage your coins by yourself: Bitcoin transactions made simple for standard or multisig wallets, segwit and bech32 are supported, create and send by your own your Bitcoin Google Colab
Bitcoin merchant tools Google Colab
Rust Bitcoin library Google Colab
Self-hosted Bitcoin payment gateway Google Colab
This project is the implementation of Dynamic U-Net architecture on Caravan Mask Challenge Dataset. A state of the art technique that has won many Kaggle competitions and is widely used in industry. Image segmentation models allow us to precisely classify every part of an image, right down to pixel level.
Open-source, non-custodial, privacy focused Bitcoin wallet for Windows, Linux, and Mac. Built-in Tor, CoinJoin, and coin control features Google Colab
Trezor Firmware Monorepo Google Colab
backend of pool.btc.com Google Colab
Stop colab from disconnecting in 2022
Coin Wallet Google Colab
The source code for the Legendary Faucet Bitcoin Faucet Google Colab
Bitcoin wallet generator and scrapper Google Colab
Use Tensorflow Object Detection API in google colab (A notebook to show How to do that step by step)
This is a beginner Guide to Google Colab that is featured on the Algotrading101 blog
Este repositorio estará basado en la explicación paso a paso en el uso de TensorFlow, Google Colab, y Python en los entrenamientos de Machine Learning para luego usar a través de HTML y JSON los modelos aprendidos por una red neuronal.
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