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Name: Nuno Edgar Nunes Fernandes
Type: User
Company: Photonics Precision Technologies, The Intelligence of Information & FasterCapital
Bio: I am aformer Physics Engineer. I have a healthy passion for Computers, Computing and all related subjects. Eager to learn and help with programming skills.
Twitter: NunoTweet1_eth
Location: Lisbon, Portugal
Blog: https://theintelligenceofinformation.wordpress.com/
Nuno Edgar Nunes Fernandes's Projects
Caffe: a fast open framework for deep learning.
DIY Deep Learning for Vision: a Hands-On Tutorial with Caffe
Python-based electromagnetic simulator and mode solver for nanophotonics applications, using the Eigenmode Expansion (EME) method.
A cryptographic currency
Implement the LeNet deep neural network model with TensorFlow.
Data processing on Hadoop without the hassle.
Build CastXML and its dependencies (LLVM/Clang)
Python Bioinformatics Toolkit for CATH (Protein Classification Database @ UCL)
Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.
CommerceBlock CBT ERC20 Smart Contracts
The CryptoCurrency Security Standard
Issues Blockcerts using the Bitcoin blockchain
Sampling of potential Certification Exam questions.
Chain Core Developer Edition
node of the decentralized oracle network, bridging on and off-chain computation
A Node.JS tool for converting between Chainpoint JSON and binary formats
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
Easy to use Python API wrapper to plot charts with matplotlib, plotly, bokeh and more
Eclipse Che: Next-generation Eclipse IDE. Open source workspace server and cloud IDE.
Chia blockchain python implementation (full node, farmer, harvester, timelord, and wallet)
Cloudflare Interoperable Reusable Cryptographic Library
A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.
ClearVolume is a real-time live 3D visualization library designed for high-end volumetric microscopes such as SPIM and DLSM microscopes. With ClearVolume you can see live on your screen the stacks acquired by your microscope instead of waiting for offline post-processing to give you an intuitive and comprehensive view on your data.