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Name: DH
Type: User
Name: DH
Type: User
Keras documentation, hosted live at keras.io
Deep Learning library for Lava
Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.
Long short-term memory Spiking Neural Networks
A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)
Training a convolutional SNN on the MNIST Dataset with NengoDL!
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
The simplest, fastest repository for training/finetuning medium-sized GPTs.
A Python library for creating and simulating large-scale brain models
Lessons for 3505 - copies of book chapters with commands as markdown, and empty code boxes to type and run commands
Repo containing computational neuroscience notebooks and a project detecting latent states in neural activity using Hidden Markov Models on spiking data, made during the Neuromatch Academy 2020.
Python exercises accompanying the book "Neuronal Dynamics"
Python2 / Brian2 implementation (attempt) of Normalized Approximate Descent based Supervised Learning Rule.
Deep learning for spiking neural networks
Deep learning with spiking neural networks (SNNs) in PyTorch.
The PatchCamelyon (PCam) deep learning classification benchmark.
Data science, machine learning, and web development project code for https://www.youtube.com/c/Dataquestio .
Studying and applying spiking neural networks in reinforcement learning.
Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
A PyTorch implementation of Spiking-YOLOv3. Two branches are provided, based on two common PyTorch implementation of YOLOv3(ultralytics/yolov3 & eriklindernoren/PyTorch-YOLOv3), with support for Spiking-YOLOv3-Tiny at present.
PyTorch Tutorials from my YouTube channel
Official repository for the QIIME 2 framework.
Methods for encoding image data into spike trains using rate coding.
A game theoretic approach to explain the output of any machine learning model.
A simple unsupervised on-line learning architecture
SimpleITK: a layer built on top of the Insight Toolkit (ITK), intended to simplify and facilitate ITK's use in rapid prototyping, education and interpreted languages.
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.