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Name: STYLIANOS IORDANIS
Type: User
Bio: ML/Data Scientist
Location: Greece
Blog: https://www.linkedin.com/in/stylianos-iordanis-34787a19/
Name: STYLIANOS IORDANIS
Type: User
Bio: ML/Data Scientist
Location: Greece
Blog: https://www.linkedin.com/in/stylianos-iordanis-34787a19/
This is the code for "Neural Arithmetic Logic Units" By Siraj Raval on Youtube
Code to support training, evaluating and interacting neural network dialog models, and training them with reinforcement learning. Code to deploy a web server which hosts the models live online is available at: https://github.com/asmadotgh/neural_chat_web
This is the code for "Neural DIfferential Equations" By Siraj Raval on Youtube
Code for Neural Inverse Knitting: From Images to Manufacturing Instructions
NeuralProphet - a Neural Network based Time-Series model
neural sketch project, currently in generative regex, list transformation (deepcoder), and text editing (robustfill) domains
PyTorch implementation for Interpretable Dialog Generation ACL 2018, It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU
Neuroevolution in F#
Optimizing artificial neural network parameters using the genetic algorithm for the classification of the Fruits360 dataset. The implementation is from scratch using NumPy.
🤖 bare-bones implementation of a neural network from scratch, backprop, momentum, dropout; other bells & whistles
Generic artificial neural networks in Julia
Free library that provides a neural network mathematical model. (unlicensed)
Implementation of neural network from Andrew Ng as from Coursera
A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN
java deep learning algorithms and deep neural networks with gpu acceleration
hacking torch-like neural networks in Julia
Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
Neural Processes implementation for 1D regression
NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT
STEGASURAS: STEGanography via Arithmetic coding and Strong neURAl modelS
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
Methods to soundly verify deep neural networks
A library for constructing self-spreading binaries
A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right abstractions and design patterns to properly do AutoML. Let your pipeline steps have hyperparameter spaces. Enable checkpoints to cut duplicate calculations. Go from research to production environment easily.
poster of neurips2019
Neural Network library in Elixir / Erlang
🔮 Neuro.js is machine learning library for building AI assistants and chat-bots (WIP).
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.