alexandermath Goto Github PK
Type: User
Company: CharmTx
Twitter: Alexand46116548
Location: Cambridge
Blog: alexandermath.github.io
Type: User
Company: CharmTx
Twitter: Alexand46116548
Location: Cambridge
Blog: alexandermath.github.io
Artificial Intelligence Research for Science (AIRS)
Train NN with "DFTs loss function."
Code for Kaggle competition: Mechanisms of Action (MoA) Prediction
Code to compute (and backpropagate) FID for a mini-batch of fake samples.
Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.
Official Code for Invertible Residual Networks
Library for Normalizing Flow in TensorFlow 2.0.
Keras implementation of original GAN, least-squares GAN and Wasserstein GAN. Check out the animation that compares the different GANs during training!
Material I used as a teaching assistant during the Machine Learning course at Aarhus University.
Use train.py with --model for either realnvp, glow, iresnet or flow++.
Neural Network implemented in Numpy with backpropagation and momentum.
Simple PixelCNN implementation in PyTorch to understand the details and quickly try different experiments.
Code for downloading, preprocessing and visualizing structural proteins from world wide protein data bank.
Contains different cool (almost magical) properties of the DFT.
MD simulation in browser w/ tensorflow.js (using MACE)
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.