qsimeon Goto Github PK
Name: Quilee Simeon
Type: User
Bio: PhD Student | Computational Neuroscience | MIT
Location: Cambridge, MA
Blog: qsimeon.github.io/
Name: Quilee Simeon
Type: User
Bio: PhD Student | Computational Neuroscience | MIT
Location: Cambridge, MA
Blog: qsimeon.github.io/
Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).
Realtime simulation and visualization of neural dynamics of a full nervous system (C. elegans).
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
Code for the COG dataset and network
Understanding computation in artificial and biological recurrent networks through the lens of dynamical systems.
NMA deep learning course
Automatic annotation of cell identities in dense cellular images.
DataHigh: A graphical user interface for visualizing and interacting with high-dimensional neural activity
Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch
Lawson's code.
Repo for the Deep Reinforcement Learning Nanodegree program
Denoising Diffusion Probabilistic Models
Reference implementation for Deep Unsupervised Learning using Nonequilibrium Thermodynamics
A library for graph deep learning research
An implementation of demixed Principal Component Analysis (a supervised linear dimensionality reduction technique)
Code for Implicit Generation and Generalization with Energy Based Models
FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks
Repository for continued development of GENESIS 2.4 neural simulator
A review of papers proposing novel GNN methods with application to brain connectivity published in 2017-2020.
A toolkit for developing and comparing reinforcement learning algorithms.
The repository provides an in-depth analysis and forecast of a time series dataset as an example and summarizes the mathematical concepts required to have a deeper understanding of Holt-Winter's model. It also contains the implementation and analysis to time series anomaly detection using brutlag algorithm.
Quick, visual, principled introduction to pytorch code through five colab notebooks.
Code supporting the paper "Weakly Supervised Learning with Assemblies of Neurons", by Dabagia, Papadimitriou, and Vempala [2021].
Various Notebooks for Lernapparat.de
Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)
Short python notebook for teaching
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.