Danilo Canivel's repositories
cs410_fake_news_detector
CS410 - Final Project
amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
erc20-staking-boilerplate
Basic ERC20 Staking from scratch
go-blockchain
Simple Go Blockchain
ansible-course
ansible classes for training team
aws-notebooks-boto3
set of notebooks helpers just to remember using boto3 with the sdk
cdk-hyperledger-fabric-network
A CDK construct to deploy a Hyperledger Fabric network running on Amazon Managed Blockchain
deeplearning_advanced_nlp
deeplearning_advanced_nlp
digital-assets-examples
Digital Assets Examples
eth_supply_chain_nd
Ethereum DApp for Tracking Items through Supply Chain
ethereum-boilerplate
The ultimate full-stack Ethereum Dapp Boilerplate which gives you maximum flexibility and speed. Feel free to fork and contribute. Although this repo is called "Ethereum Boilerplate" it works with any EVM system and even Solana support is coming soon! Happy BUIDL!👷♂️
gastby-app
Testing Gastby out
On-Chain-Investigations-Tools-List
Here we discuss how one can investigate crypto hacks and security incidents, and collect all the possible tools and manuals! PRs are welcome! If any tool is missing - please open PR!
opencbdc-mvp
A super simplified version of opencbdc for learning and experimentation
py-blockchain
Python Blockchain with POS Consensus
pytorch_2020
notebooks for Pytorch 2020 course
pytorch_course
content for the pytorch course
react-hooks
Some examples using react hooks
react_redux_2019
Repo for the course - Udemy react redux 2019
stat420_finalproj
Stat 420 - Summer 2019 - Final Proj
stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
tensorflow_specialization_coursera
tensorflow_specialization_coursera