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Name: Guozhang Chen
Type: User
Name: Guozhang Chen
Type: User
code for paper "Anomalous diffusion dynamics of learning in deep neural networks"
A Python implementation of global optimization with gaussian processes.
This is a blank chisel project to be used as a template in large designs
PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, GR, GR+distill, RtF, ER, A-GEM, iCaRL).
Evaluate three types of task shifting with popular continual learning algorithms.
Contrastive Predictive Coding for Image Recognition
EYMOL: Eye Movements Laws
Code for visualizing the loss landscape of neural nets
Tensorflow implementation of RAM and DRAM networks
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
Code for http://saliency.mit.edu/
Network model of V1 simple cells which represent a complete probability distribution by a sequence of multivariate stochastic samples. Perceptual inference in a model of natural images is assumed to result in a posterior probability distribution. The image model used is a Gaussian Scale Mixture model that was shown to be both an effective computer vision model for denoising and compression, but also as a good predictor of the mean activity of simple cells in response to various stimuli.
The codebase for the paper "A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks"
Helper library for stochastic LIF sampling in PyNN-supported neural simulators
Deep Residual Learning in Spiking Neural Networks
A computational platform for studying spiking neural circuits developed by Dr. Pulin Gong's group at University of Sydney.
Matlab tools for multi-scale image processing, from Eero Simoncelli's lab (http://www.cns.nyu.edu/~eero/steerpyr/)
Responses of 10,000 neurons to 2,800 natural images
A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA
Experiments for the paper "A Walk with SGD" (https://arxiv.org/pdf/1802.08770.pdf)
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.